Archive for the ‘Quantum Computing’ Category

Bizarre particle that can remember its own past created inside … – Livescience.com

A weirdo particle that can remember its own past has been created inside a quantum computer, and scientists think it could be used to probe even deeper into quantum phenomena.

The quasiparticles, called non-abelian anyons, maintain records of their previous location when swapped with each other enabling physicists to weave them together into complex entangled designs with new and weird behaviors.

To get a picture of how most subatomic particles behave, imagine the old street game where a ball is hidden under one of three identical cups, then shuffled around. Just like in this shell game, if you swap three perfectly identical particles around any number of times without tracking their movements, you'll have no way of guessing which is which by the time the cups have stopped moving. In quantum physics jargon, we say that particles are abelian: the order we observe them in doesn't matter because they are indistinguishable.

Related: Quantum computers could overtake classical ones within 2 years, IBM 'benchmark' experiment shows

Yet for non-abelian anyons, the opposite is the case. First proposed by the theoretical physicist Frank Wilczek in1982, each change to the positions of the bizarre particles causes them to become more entangled with each other, altering their quantum vibrations to form an ever-more-complex braid that remains visible even after they have been swapped.

For physicists designing quantum computers, this gives non-abelian anyons some very alluring properties. Quantum bits, or qubits, can easily be exposed to noise and scrambled, meaning that scientists often try to encode information in quantum systems not in the bits themselves, but in how the bits are arranged relative to each other.

For an analogy, imagine a book where every page is empty, but if you look at all the pages at once, the information slowly adds up," Henrik Dryer, a theoretical physicist at the quantum computing firm Quantinuum, which created the particle, told Live Science. "Even if you scratch out one page, it doesn't matter, because the information is in the correlation between the pages."

Dryer explained that until now, physicists working on quantum computers have connected the pages using abelian particles, or ones that are completely interchangeable. This is an effective method to account for noise, but because abelian particles are indistinguishable from each other, it requires computationally intense workarounds to prevent the qubits from getting mixed up.

To find a way around this, Dryer and his colleagues developed a new quantum computer, named H2, that trapped ions of barium and ytterbium inside powerful magnetic fields, before tuning the ions with lasers to transform them into qubits.

By entangling these qubits with each other into a complex braid-like arrangement, the researchers found they had given the qubits properties exactly like those predicted for non-abelian anyons a result which they say is equivalent to having created the elusive particles.

"It's not simulated, it's the real thing. And that is just the mathematical definition," Dryer said. "Let's take water ice: if you make a crystal that has the same properties as ice, but without H2O, then you could say it was a simulation, right?" But in this case, the definition of a non-abelian anyon is only about entanglement.

Besides helping build more robust quantum systems, the scientists say that non-abelian anyons will help them to design more advanced experiments to probe even deeper into weird quantum effects that emerge from large-scale entanglement.

"I think the most exciting thing that comes out of this is using these kinds of states, not for computational purposes, but just for asking research questions," Dryer said. " This could provide some value to people as a science tool by performing new experiments that you couldn't with a classical computer."

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Bizarre particle that can remember its own past created inside ... - Livescience.com

Semiconductors and AI: Exploring New Frontiers in Quantum … – Fagen wasanni

Semiconductors and AI: Exploring New Frontiers in Quantum Computing

Semiconductors and artificial intelligence (AI) are two of the most transformative technologies of our time. They have revolutionized various industries, from telecommunications to healthcare, and continue to shape the future of technology. Recently, these two fields have converged in an exciting new frontier: quantum computing.

Quantum computing is a revolutionary technology that leverages the principles of quantum mechanics to perform complex calculations at speeds unimaginable with traditional computers. At the heart of this technology are quantum bits, or qubits, which can exist in multiple states at once, unlike the binary bits used in classical computing. This property, known as superposition, allows quantum computers to process vast amounts of data simultaneously, opening up new possibilities for AI and machine learning.

Semiconductors play a crucial role in this quantum revolution. They form the backbone of quantum computers, providing the physical platform where qubits are created and manipulated. The semiconductor industry has been instrumental in advancing quantum computing, with companies like IBM, Google, and Intel investing heavily in research and development. These efforts have led to significant breakthroughs, such as the creation of more stable qubits and the development of error correction techniques, which are essential for the practical application of quantum computing.

AI, on the other hand, stands to benefit immensely from the advent of quantum computing. Quantum computers can process and analyze large datasets much faster than classical computers, making them ideal for complex AI tasks such as pattern recognition and predictive modeling. Moreover, quantum algorithms can potentially improve the efficiency of machine learning processes, enabling AI systems to learn and adapt more quickly.

The integration of semiconductors, AI, and quantum computing also has profound implications for cybersecurity. Quantum computers can crack traditional encryption methods in a fraction of the time it would take a classical computer, posing a significant threat to data security. However, they also hold the key to quantum encryption, a theoretically unbreakable security protocol based on the principles of quantum mechanics. This duality underscores the transformative potential of quantum computing, not just as a tool for computation, but also as a catalyst for innovation in other fields.

Despite the promise of quantum computing, there are still many challenges to overcome. The technology is still in its infancy, and building a practical quantum computer requires overcoming significant technical hurdles. Qubits are extremely sensitive to environmental disturbances, and maintaining their quantum state, or coherence, is a major challenge. Furthermore, scaling up quantum systems to handle more qubits is a complex task that requires significant advances in semiconductor technology.

Nevertheless, the convergence of semiconductors and AI in the realm of quantum computing represents a significant step forward in the evolution of technology. It is a testament to the power of interdisciplinary collaboration and a glimpse into a future where the boundaries between the physical and digital worlds blur. As we continue to explore this new frontier, we can expect to see more breakthroughs that will redefine our understanding of computation and its potential to transform society.

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Semiconductors and AI: Exploring New Frontiers in Quantum ... - Fagen wasanni

Quantum Superposition State Created in Semiconductor … – Fagen wasanni

A German-Chinese research team has made a significant breakthrough in the field of quantum computing by successfully creating a quantum superposition state in a semiconductor nanostructure. This achievement was accomplished by using two precisely calibrated optical laser pulses.

Traditionally, inducing such a state required a large-scale, free-electron laser emitting light in the terahertz range. However, this wavelength was too long to accurately focus on the quantum dot within the semiconductor. The research team overcame this limitation by employing two carefully calibrated short-wavelength optical laser pulses.

The team, led by Feng Liu from Zhejiang University in Hangzhou, together with researchers from Ruhr University Bochum and other institutions, published their findings in the journal Nature Nanotechnology. By utilizing the radiative Auger transition, where an electron recombines with a hole, the researchers were able to create a superposition state in a quantum dot. This state allowed an electron hole to simultaneously possess two different energy levels.

In their experiment, the researchers used two different laser beams with specific intensity ratios to excite an electron-hole pair and trigger the radiative Auger process. This process involved elevating one hole to higher energy states. By using finely tuned laser pulses, the researchers created a superposition between the hole ground state and the higher energy state, enabling the hole to exist in both states concurrently.

Superposition states are essential for quantum computing as they form the basis of quantum bits or qubits. Unlike classical bits that exist in states of either 0 or 1, qubits can exist in superpositions of both states.

The research team optimized the semiconductor samples, increasing the ensemble homogeneity of the quantum dots and ensuring high purity. These measures facilitated the successful performance of the experiments.

This breakthrough in creating a quantum superposition state within a semiconductor nanostructure brings us one step closer to realizing the potential of quantum computing. The ability to manipulate and control quantum states is crucial for building more powerful and efficient quantum computers capable of solving complex problems.

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Quantum Superposition State Created in Semiconductor ... - Fagen wasanni

Quantum leap: How quantum sensors are revolutionizing robotics – VentureBeat

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The recent Ant-Man movie did a great job of putting quantum up in lights, but the future of quantum science shines even brighter than fiction. One application, quantum sensors, is already the basis of some of the most important systems and technologies in our world global positioning systems (GPS) and magnetic resonance imaging (MRI) scanners are prime examples.

Quantum sensors and quantum AI are just the beginning: Robots are now getting the quantum sensor treatment too. Quantum sensors will supercharge the way robots work and how we apply them to important 21st-century challenges.

Modern technology is full of sensors that measure heat, light, movement, pressure or other aspects of the physical environment. Quantum sensors add something new. They use the quantum properties of how particles behave at atomic scale to detect tiny movements or changes in gravitational, electric or magnetic fields.

Because they work at such a small scale, quantum sensors can measure light or other observable phenomena extremely accurately. It also means they can provide a highly precise and stable measurement, as they measure properties like the structure of atoms or spins of atomic particles, which never change.

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This accuracy and reliability make quantum sensors very useful. They make sure the tick of atomic clocks stays true to the beat of time, a quality which puts them at the heart of GPS and other Positioning, Navigation and Timing (PNT) systems. They are also widely used in MRI scanners to provide clinicians with finely detailed diagnostic images. And they are also helping improve the environmental data available to scientists and industry, a vital aspect of global sustainability efforts.

Its important to mention, though, that sometimes being so precise and sensitive can be less useful. Thats because it results in a lot of noise in the data. Noisy data is a challenge that teams like our EY quantum data science team are tackling by implementing AI to separate insights from the noise.

In fact, combining quantum sensing with other technologies is a strategy with lots of potential. Quantum sensing and robotics is a good example. The tiny size of most quantum sensors, plus their high sensitivity, have already led to their use as tactile sensing elements in fiber optic cables for robotic arms helping the robot arm to perceive its environment by detecting precise information about pressure, vibration, temperature or texture.

Other potential applications of this powerful combination are also emerging. For example, we are starting to see quantum sensors combined with mobile robots. Information about the environment detected by the sensors, such as small changes in temperature or magnetic fields, can enable the robot to make more precise movements and decisions, as well as gather valuable data for other purposes.

We tested this ourselves by attaching a quantum sensor to Spot, a quadruped robot designed to move around and collect data. The quantum sensor we tested is designed to measure the type of light that influences plant growth, called photosynthetically active radiation (PAR). More precisely, the sensor measures the number of photosynthetically active photons at a particular location at a point in time to see how much PAR a plant in that location would receive.

Because the sensor is robust and reliable in environments like artificially lit greenhouses both underwater and underground, attaching it to mobile robots like Spot has valuable potential in agriculture, where monitoring and managing light is vital. It could also help model emerging large-scale bio-ecosystems, such as plantations in the desert or underground farms, to help use them address global food security.

We are already seeing pioneering research in this area, such as a Qatari project studying optimal growing strategies for very light-sensitive greenhouse plants like tomatoes, a project feeding into the countrys food security focus on locally grown rather than imported produce.

For a simple proof of concept, we attached our sensor to Spot with a standard GoPro mount and programmed the robot to move around our office garden so the sensor could take light measurements. Our first finding was that wintertime in Denmark is not optimal for our plants, unfortunately!

Our second was to see first-hand why pairing quantum sensors with mobile robots has such potential. We saw particular value in the ability to program Spot to take regular measurements around the garden over time.

Beyond agricultural uses for robot-mounted PAR sensors like Spots, robots with quantum gravity sensors could transform our ability to map underground structures. By measuring differences in gravitational fields more precisely, these sensors could help reduce construction risks through more accurate mapping of tunnels, caves or sinkholes, as well as helping environmental scientists to model and predict patterns of magma flow or groundwater levels to manage eruption and flood risks.

Getting quantum sensors into and around challenging environments isnt the only benefit of the robot-quantum sensor pairing. Quantum sensors could also help robots navigate better. Its critical for autonomous robots like Spot or self-driving cars to be able to navigate safely and accurately.

Here, too, quantum sensors look set to play a part. In December 2020, the SPIDAR project received UK government funding to develop quantum-based LiDAR systems for autonomous vehicles. By detecting single photons emitted by an object and using this to measure the detected objects distance, SPIDAR will be able to sense how close an object is to a vehicle with far greater precision than existing 3D camera systems.

Compared to current LiDAR systems that measure laser beam travel time to and from objects with accuracy to the range of 100 milliseconds, quantum LiDAR like SPIDAR will measure photon travel time to the trillionths of a second. They will also be able to detect objects through fog or potentially around corners, which current LiDAR cannot do. The quantum LiDAR upgrade certainly sounds like a positive move towards autonomous vehicles we can feel safe being in or alongside.

Away from every day road users, quantum sensors will also help robots like drones and autonomous military vehicles navigate in environments where GPS systems either dont work or could be an exploitable weakness. These non-GPS PNT systems often use cold trapped ion quantum sensors that measure tiny changes in gravity and atomic acceleration. As the technology gets smaller and more rugged, experts believe these systems will have significant potential in commercial and defense industries.

Our whistlestop tour of quantum sensors and robotics shows how much opportunity this combination will offer as the technology continues to develop. But what makes the quantum and robotics pairing even more exciting is its broader potential, particularly when you add AI into the mix.

AI technologies like computer vision and machine learning (ML) are vital to how autonomous mobile robots perceive and avoid obstacles and plan their activities within a particular environment. But making AI processors small and light enough to integrate within smaller robots is a big technical challenge. Thats because processes like machine vision require huge amounts of computing resources.

Experts believe quantum computing could overcome this challenge by running algorithms much faster, dramatically reducing the processing power required. Doing so could open up many more opportunities to take advantage of mobile robots. This is just one example of quantum AI applied to robotics others, such as quantum MLs potential to help robots learn faster, are also being explored, and no doubt other fruitful pairings will follow.

All in all, its clear to us that quantum robotics is a dynamic field that innovators, scientists and governments are keen to expand. We are confident that quantum sensors and quantum AI are just the beginning. We will be watching closely as quantum robots take ever-bigger steps toward realizing their potential. As they do, they will join the raft of quantum applications taking quantum science well beyond the realms of fiction.

Jeff Wong is global chief innovation officer at EY.

Kristin Gilkes is global innovation quantum leader at EY.

The views reflected in this article are the views of the authors and do not necessarily reflect the views of the global EY organization or its member firms.

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Quantum leap: How quantum sensors are revolutionizing robotics - VentureBeat

Quasiparticle poisoning in superconducting quantum computers … – American Institute of Physics

Although quantum computing is still in its infancy relative to the classical computing technology that weve come to know, love, and rely on, rapid advances over the past decade have taken it from the realm of science fiction to a probable reality of the not-so-distant future. Instead of manipulating bits of information by operating millions of transistors, a quantum computer relies on the precise control of many quantum subsystemsindividual quantum bits, or qubitsalong with an accurate readout of their quantum states. Many promising physical qubit platforms, such as trapped ions, neutral atoms, and solid-state defects (see the article by Christopher Anderson and David Awschalom on page 26), are based on building blocks that are typically thought of as archetypes of quantum behavior.

One of the leading candidate platforms for a useful quantum processor, however, is constructed from components that dont evoke a picture of tiny, microscopic particles with exotic properties. Instead, it consists of superconducting wires, capacitors, and inductors patterned on chips akin to existing semiconductor technologies. Those electronic circuits, which make up the superconducting qubit platform, embody many of the desirable properties of their atomic counterparts and have become the focus of several high-profile quantum computing effortsled by both large companies, such as IBM, Google, and Alibaba, and startups, including Rigetti Computing, IQM, Alice & Bob, Oxford Quantum Circuits, and Quantware.1 Those companies are leveraging modern clean-room fabrication tools to more easily engineer complex circuits with fast control.

In developing any quantum computing platform, a fundamental challenge arises from the tension between preserving quantum information and manipulating it: The former requires that qubits be isolated from their environment, while the latter demands that they have precise interactions with it. In fact, the key metrics for any platform can be summarized by the probability that an error will occur during a calculation and the time it will take to complete that calculation.

Currently, researchers looking at superconducting qubits are focusing on the error probability, which can be thought of as the ratio of how fast the qubit can be controlled to the rate at which it loses information to its environment. Of the primary mechanisms that are currently limiting superconducting qubit performance, one of the most intriguing and difficult to control is quasiparticle poisoningthe presence of charge carriers that do not participate in the superconducting condensate.

Quantum effects are often weak and hard to observe in objects visible to the human eye. (For example, see Physics Today, July 2023, page 16.) So how is it that superconducting devices that are constructed from such circuit elements as inductors and capacitors and contain on the order of 1015 atoms behave quantum mechanically? As first shown by John Martinis, Michel Devoret, and John Clarke in 1987, a macroscopic degree of freedom can exhibit quantum behavior provided that energy dissipation is negligible and that the temperature of the system is low.

Thus the first ingredient to build a quantum circuit is to avoid energy dissipation, which leads to information loss. Thats why circuit components are fabricated with superconducting materials. They can carry direct current without any resistance because the relevant charge carrierselectrons and holes near the Fermi energypartner into Cooper pairs and condense into a macroscopic coherent state, as explained by the Bardeen-Cooper-Schrieffer (BCS) theory of superconductivity (see the article by Warren Pickett and Mikhail Eremets, Physics Today, May 2019, page 52). The condensate can be described by a complex-valued order parameter, the phase of which is critical to describe the physics of superconducting qubits.

Dissipationless transport is possible not only within bulk superconductors but also between two connected superconductors separated by whats called a weak link. The most widely used type of weak link is a tunnel barriera thin oxide layer separating two superconducting electrodes to form a Josephson junction. Importantly, Josephson junctions behave as nonlinear inductors: They lie at the heart of superconducting qubits, and the difference in the phase of the order parameter between the superconductors they connect is exactly the macroscopic degree of freedom that was shown to exhibit quantum behavior. In practice, aluminum is the superconductor of choice for Josephson junctions because its compatible with relatively standard nanofabrication techniques and has a self-limiting few-nanometers-thick oxide at its surface, which is used for the junction barrier.

The design flexibility of superconducting circuits originates from the many possible ways of combining the three basic circuit elementscapacitors, linear inductors, and nonlinear inductors (Josephson junctions), which all have parameters that can be tuned over a wide range. Is there a price to pay for such flexibility? Depending on how the components are arranged, quantum information can be encoded into the charge or the phase difference between superconducting condensates or as a combination of the two. The encoding methods hint at what can go wrong: The charge, the phase, or even the superconducting condensate itself can be disrupted.

Broadly speaking, the environmental effects acting on the charge or phase are known as charge noise and flux noise, respectively. They arise from materials defects and imperfections on the surface of the superconductor, at the interface with the substrate, in the oxide forming the Josephson junction, and in the substrate itself. At the microscopic scale, the sources of charge noise and flux noise arise from random changes in the configurations of charges and electron or nuclear spins.2

Another decoherence mechanism affecting charge and phase arises from the interaction of the superconductor with the electromagnetic environment: Like any other resonant electric circuit, a superconducting qubit can lose energy by emitting a photon. Thats easy to visualize for the simplest superconducting qubit, called a transmon. Consisting of a Josephson junction in parallel with a capacitor, a transmon can be thought of as a nonlinear dipole antenna, which absorbs and emits photons at some characteristic frequency.

In contrast to the decoherence mechanism described above, the superconducting condensate can be directly disturbed by the environment via the breaking of Cooper pairs, a process that generates quasiparticle excitations in the superconductor itself. Cooper pairs comprise two electrons with opposite spin and momentum, and superconductivity results from the coherent superposition of the underlying many-body momentum states, which are either pair-occupied (electrons) or pair-unoccupied (holes), as illustrated in figure 1.

Figure 1.

Quasiparticle excitations in superconductors. (a) In the ground state of a normal metal, spin-degenerate electrons (blue) occupy states with energy up to the Fermi level F. (b) The ground state of a Bardeen-Cooper-Schrieffer superconductor consists of a coherent superposition of all possible configurations of states, which have pair-correlated electron occupation in an energy window around the Fermi level. For simplicity, panels a and b neglect degeneracy or correlation in the momentum of the electrons. (c) When a phonon or photon with energy greater than 2 couples to the superconductor, the generated pair of quasiparticles poisons the superconductor: The two states the quasiparticles occupy (purple region) are fixed and dont participate in the coherent superposition of the superconducting condensate. (Adapted from ref. 9.)

Figure 1.

Quasiparticle excitations in superconductors. (a) In the ground state of a normal metal, spin-degenerate electrons (blue) occupy states with energy up to the Fermi level F. (b) The ground state of a Bardeen-Cooper-Schrieffer superconductor consists of a coherent superposition of all possible configurations of states, which have pair-correlated electron occupation in an energy window around the Fermi level. For simplicity, panels a and b neglect degeneracy or correlation in the momentum of the electrons. (c) When a phonon or photon with energy greater than 2 couples to the superconductor, the generated pair of quasiparticles poisons the superconductor: The two states the quasiparticles occupy (purple region) are fixed and dont participate in the coherent superposition of the superconducting condensate. (Adapted from ref. 9.)

Picturing quasiparticles as broken Cooper pairs gives an idea of what they actually are. In a normal metal, electrons occupy various energy levels in a so-called Fermi sea, and when an electron is removed, whats left is a hole excitation. When removing an electron that was part of a Cooper pair, whats left is a coherent superposition of an electron and a hole, known as a Bogoliubov quasiparticle.

Whereas any small amount of energy is sufficient to generate an electron and a hole in a normal metal, it takes a finite energy, denoted as 2, to break a Cooper pair. That energy, known as the superconducting gap, is proportional to the critical temperature Tc at which the superconductivity disappears: 1.76 kBTc for well-behaved BCS superconductors, such as aluminum. Because of the energy gap, at low temperature the thermally activated number of quasiparticles, which can be quantified as the fraction xQP of broken Cooper pairs, should be exponentially small, xQP ~ exp(/kBT). For aluminum at about 20 mKthe temperature at which aluminum-based superconducting qubits are typically operatedxQP is expected to be about 1046, which is so small that in an Earth-sized block of superconducting aluminum, one would expect to find only two thermally excited quasiparticles. Unfortunately, as we will describe later, observed values of xQP are much larger than expected.

So what happens if quasiparticles are present in a superconducting circuit? In bulk superconductors, theyre responsible for finite AC dissipation proportional to xQP. In qubit circuits comprising Josephson junctions, the situation is more complex. When a quasiparticle tunnels from one side of a junction to the other, its coupling to the phase difference across that junction makes it possible for the quasiparticle to absorb energy from the qubit, causing the qubit to decay. Similar to the dissipative response of bulk superconductors, the decay rate is proportional to xQP. Even if the quasiparticle does not absorb energy, when it tunnels it can make the qubit frequency fluctuate, which leads to dephasing and a reduction of the qubits coherence time. Both energy decay and dephasing originate from the dependence of the tunneling amplitude on the phase difference and have been investigated in a number of theoretical and experimental works (see references 3 and 4 and references therein).

The decoherence mechanisms are generic to any superconducting qubit made with junctions, but different qubit designs have different sensitivities. In fact, qubits with junctions embedded in a superconducting loop can be tuned by threading a magnetic flux through that loop, and the sensitivity to quasiparticles can be suppressed at particular flux values known as sweet spots. The suppression is an interference effect that manifests the nature of quasiparticles as a coherent superposition of electron- and hole-like excitations. At the sweet spots, the sensitivity to flux noise is also minimized, making them by far the preferred operating point for such qubits.

As mentioned above, no thermally excited quasiparticles should be present at temperatures sufficiently below Tc. Aluminum circuits with Tc = 1.2 K and at dilution refrigerator temperatures of 10 mK should be completely free of quasiparticles. So why worry about them at all?

In the 1990s several groups studied a class of superconducting charge-sensitive circuits that leveraged the so-called Coulomb blockade effect. In those devices, one or more submicrometer-scale superconducting islands were weakly coupled to connected electrodes by Josephson junctions. Importantly, the small size of the islands and junctionstypically no larger than 100 nm 100 nmfixed the islands total capacitance C to less than a femtofarad. At that level, the corresponding charging energy for adding a single Cooper pair, EC = 2e2/C, where e is the electron charge, could easily exceed 1023 J, or 1 K in temperature units.

In that parameter regime, the critical current and other electronic properties were sensitive to the addition or subtraction of single Cooper pairs and quasiparticles. Although quasiparticles do not have definite charge, when they tunnel on or off a superconducting island, the total charge on that island is shifted by the discrete value e.

One of the simplest Coulomb blockade circuits is the single Cooper-pair transistor.5 As shown in figure 2, the device has two small Josephson junctions that isolate a single superconducting island from superconducting leads, and a capacitively coupled gate electrode is placed nearby. In that configuration, the two junctions behave effectively as a single Josephson junction. Its critical currentthe maximum current that the junction can carry while keeping the voltage across the junction close to zeromodulates with an applied gate voltage. Ideally, the modulation is a 2e-periodic function of the gate charge qg = CgVg (where Cg is the gate capacitance to the island, and Vg is the gate voltage) and reflects the size of the Cooper-pair charge itself. As noted above, the presence of quasiparticles in the leads provides a source for single electrons to tunnel onto the island and offset the islands charge by an electron, which concomitantly shifts the current modulation by 1e.

Figure 2.

Superconducting circuit. (a) A Cooper-pair transistor circuit features two small Josephson junctions that isolate a submicron-scale superconducting island (red). (b) An odd parity state (blue) corresponds to an excess electron on the island, and an even parity state (green), to no excess electron. The effective critical current through the island modulates with an applied gate voltage Vg that corresponds to a change in the energy cost of placing additional Cooper pairs on the island. (c) The switching current, which is closely related to the critical current, has a value at a given gate voltage that reflects the presence or absence of quasiparticles poisoning the island charge state. The dips at 1e indicate that single quasiparticles occupy the island more often than not (top). The opposite (bottom) is true when the relative gap energy of the superconducting island and superconducting lead is inverted. (Adapted from ref. 5.)

Figure 2.

Superconducting circuit. (a) A Cooper-pair transistor circuit features two small Josephson junctions that isolate a submicron-scale superconducting island (red). (b) An odd parity state (blue) corresponds to an excess electron on the island, and an even parity state (green), to no excess electron. The effective critical current through the island modulates with an applied gate voltage Vg that corresponds to a change in the energy cost of placing additional Cooper pairs on the island. (c) The switching current, which is closely related to the critical current, has a value at a given gate voltage that reflects the presence or absence of quasiparticles poisoning the island charge state. The dips at 1e indicate that single quasiparticles occupy the island more often than not (top). The opposite (bottom) is true when the relative gap energy of the superconducting island and superconducting lead is inverted. (Adapted from ref. 5.)

Many experimentalists therefore regarded a 1e-periodic modulation to be indicative of the presence of quasiparticles. Indeed, one could turn a 2e-periodic modulation into a 1e-periodic modulation just by heating up the device to a few hundred millikelvin to create an abundance of thermally generated quasiparticles. It was common, however, to see 1e-periodic modulation at much lower temperatures, even when controlling for other known causes of the behavior. Its known as quasiparticle poisoning, and its sporadic presence in some, but not all, devices was one of the first indications that the physics of quasiparticles was not fully understood.

Using a higher-speed DC measurement technique in the early 2000s, one of us (Aumentado) found evidence for quasiparticles at dilution-refrigerator temperatures, even in 2e-periodic devices. The results showed that the tunneling of nonequilibrium quasiparticles on and off the island was sensitive to both gate voltage and the relative gap energies of the island and leads. Single Cooper-pair transistors share many things in common with todays superconducting qubit circuits, including the junction sizes and material choice of aluminum, and perhaps thats why its not surprising that the basic phenomenon of nonequilibrium quasiparticle poisoning has persisted to the present day.

To probe the dynamics of nonequilibrium quasiparticles in superconducting qubits and test our understanding of quasiparticle poisoning, researchers have used many approaches over the years. For example, one can purposely add quasiparticles by increasing the systems temperature and then measuring such properties as the relaxation time T1 (typically tens to hundreds of microseconds) and the qubit frequency 10 (a few gigahertz). Both those properties decrease when quasiparticles are present.6

Alternatively, nonequilibrium quasiparticles can be injected directly without raising the system temperature, and the expected relation between changes in T1 and 10 can be checked.7 In fact, researchers have exploited the proportionality between 1/T1 and the quasiparticle density xQP to monitor the dynamics of xQP, and they have assessed to what extent quasiparticles were trapped by supercurrent vortices.8 Such experiments also make it possible to place bounds on the density of nonequilibrium quasiparticles and to estimate their generation rate.

A more direct measure of quasiparticle effects in qubits is similar to the initial observations of 1e periodicity in single Cooper-pair transistors.5 By explicitly reintroducing some charge sensitivity into a transmon circuit, researchers detected quasiparticle-induced errors via a correlated change in the oddeven charge parity of the circuit over a time QP (see reference 9 and references therein). From those experiments, its clear that modern-day superconducting qubits are still plagued by nonequilibrium quasiparticle poisoning.

Once physicists accepted that nonequilibrium quasiparticles were present in their superconducting devices, a simple question remained: Why? The answer boils down to the erroneous assumption that everything a qubit sees is perfectly isolated from the outside world and well-thermalized to the coldest stage of the cryostat. For low-noise experiments with superconducting qubits, researchers take a lot of care to filter and shield any unwanted noise. But qubits arent ever completely sheltered. All it takes to produce a pair of quasiparticles in an otherwise isolated superconductor is an excitation with an energy greater than 2, which for commonly used thin aluminum films corresponds to approximately 100 GHz, 5 K, or 400 eV, depending on the preferred choice of units. Thats not a lot of energy!

The many years that researchers have spent developing superconducting detectors have led to valuable insights into the dynamics of nonequilibrium quasiparticles. Figure 3 summarizes how all sorts of bad actors, including stray IR photons, mechanical vibrations of the device, andmost troubling of allionizing radiation from radioactive decay products and cosmic-ray secondary particles generate quasiparticles in qubits.

Figure 3.

Quasiparticle dynamics. A Josephson junction, formed by a superconductor-insulator-superconductor heterostructure, is shown in cross section. Quasiparticles (purple) can undergo various inelastic processes. Some tunnel across the Josephson junction (yellow) and others are generated during photon-assisted tunneling of Cooper pairs (orange). Both processes can cause energy exchange between the quasiparticles and a qubit formed in part from the junction. Ionizing radiation can create in the substrate electronhole pairs (red), which emit showers of phonons (pink) as they relax. Phonons with an energy of 2 or greater are sufficiently energetic to break Cooper pairs; freshly created quasiparticles in the device then lead to spatiotemporally correlated errors. Quasiparticles can also recombine and emit a phonon with energy greater than 2 (dark green).

Figure 3.

Quasiparticle dynamics. A Josephson junction, formed by a superconductor-insulator-superconductor heterostructure, is shown in cross section. Quasiparticles (purple) can undergo various inelastic processes. Some tunnel across the Josephson junction (yellow) and others are generated during photon-assisted tunneling of Cooper pairs (orange). Both processes can cause energy exchange between the quasiparticles and a qubit formed in part from the junction. Ionizing radiation can create in the substrate electronhole pairs (red), which emit showers of phonons (pink) as they relax. Phonons with an energy of 2 or greater are sufficiently energetic to break Cooper pairs; freshly created quasiparticles in the device then lead to spatiotemporally correlated errors. Quasiparticles can also recombine and emit a phonon with energy greater than 2 (dark green).

IR photons can leak into the experimental region of a cryostat, despite the best attempts to block or shield from them. Many popular cryogenic systems, including dilution refrigerators, consist of multiple temperature stages. Similar to a set of nested matryoshka dolls, a metal shield at each stage protects the next from the surrounding, hotter stage (see figure 4). The innermost shield should be thermalized to the lowest-temperature stage of the cryostat. Experiments with superconducting resonators, however, indicated that more shielding was needed: Some photons from higher-temperature stages can get through and reduce device performance.10 Coating the experiment with IR-absorbing material is one remedy. Its the same principle thats used when painting stealth aircraft.

Figure 4.

Superconducting qubit experiments often use dilution refrigerators with nested temperature stages. Each stage includes a metallic shield that blocks blackbody radiation from higher-temperature stages. Gamma rays and cosmic-ray muons, however, can penetrate through that shielding, sometimes hitting the superconducting quantum processor and creating spatiotemporally correlated, quasiparticle-induced errors.

Figure 4.

Superconducting qubit experiments often use dilution refrigerators with nested temperature stages. Each stage includes a metallic shield that blocks blackbody radiation from higher-temperature stages. Gamma rays and cosmic-ray muons, however, can penetrate through that shielding, sometimes hitting the superconducting quantum processor and creating spatiotemporally correlated, quasiparticle-induced errors.

Researchers recently discovered that the qubit itself can act as an antenna that enhances the production of quasiparticles via absorption of IR radiation.11 The absorption process is localized at the Josephson junctions of a qubit circuit; in addition to qubit relaxation, the process can explain recent observations of especially large qubit excitation rates.9 Experiments have since demonstrated that the process does indeed contribute to quasiparticle generation and qubit excitation and that the process can be suppressed by improved filtering of the microwave lines feeding signals to the qubits and by proper design of the qubit and its surroundings.9,12 Those improvements can lengthen by several orders of magnitude the time between quasiparticle tunneling events, from shorter than a millisecond to longer than a second.

Ionizing radiation is known to also produce quasiparticles in superconducting devices, and in many cases thats the desired effect. So-called pair-breaking detectors, such as microwave kinetic inductance detectors and transition-edge sensors, operate on the principle that ionizing radiation and other excitations deposit large amounts of energy into the crystalline device substrate in the form of ionized charge carriers and showers of high-energy phonons. In superconducting detectors, the phonons can produce quasiparticles, whose presence is inferred from a change in an observable parameter, such as kinetic inductance or critical current.

Although superconducting qubits are similar in construction to those types of detectors, it was only in hindsight that researchers realized that superconducting qubits could also act as detectors of ionizing radiation, with detection events translating into computational errors. Ionizing radiation reduces the performance of qubits.13 Some of it, primarily rays, can be shielded by lead, but to cut down on the flux of pesky cosmic-ray muons, one needs to use the overburden of Earths crust or to go deep underwater.14

The mechanism of quasiparticle production via cosmic-ray muons is particularly worrisome because about every 10 seconds a muon can generate bursts of quasiparticles throughout a device and knock out many nearby qubits simultaneously.15 Similar bursts were recently linked to mechanical relaxation of superconducting devices over the time scale of days. The link could explain an earlier observation of a slow decay in the generation rate over the course of an experiment. Those types of quasiparticle-induced spatiotemporally correlated errors are difficult to deal with in many quantum error-correction schemes, although they can be addressed if theyre detected independently and if qubits likely to have been affected by errors can be excluded from further computation.16

Qubit performance has improved by several orders of magnitude in the 25 years since the first demonstration of coherence in a superconducting qubit, but there is still a long road ahead. The consensus in the research community is that quantum error-correction techniques will be necessary to maintain complex multiqubit-state information for the duration of a useful computation. In such schemes, logical qubits are encoded in the combined state of many error-prone qubits, and higher error rates translate into stricter requirements on the total number of physical qubits.

An underlying assumption typical of quantum error-correction schemes is that physical errors are random. Using that thinking, researchers have steadily chipped away at the background population of nonequilibrium quasiparticles and suppressed their steady-state contribution to qubit errors to a sufficient level over time. But that assumption is violated by the aforementioned error bursts that arise from quasiparticles generated by ionizing radiation.

Luckily, there are many proposedand some demonstratedpaths toward mitigating catastrophic error bursts. Having quasiparticles around is ok, so long as they dont tunnel across a qubits Josephson junction. That could be achieved by using a superconductor for the ground plane with a smaller energy gap than the qubit superconductor or by adding normal-metal islands to the back of the chip.17 Those design changes bring the energy of the phonons generated by radiation hits to below the gap of the qubit material, so that they cannot break Cooper pairs anymore. The few quasiparticles that are still generated in the qubit bulk can be kept away from the qubits junctions by employing quasiparticle traps9,18 or blocked from tunneling at the junctions via gap engineering.5

While those on-chip techniques are effective for many sources of quasiparticles, pesky cosmic-ray secondary particles such as muons are not effectively shielded except by massive amounts of material, which has led some scientists to suggest that underground facilities are critical to avoiding spatiotemporally correlated error bursts. Luckily for experimentalists who enjoy sunlight, there is hope that on-chip mitigation strategies could be combined with tungsten or lead shielding to provide sufficient protection. But such radiation-hardened superconducting qubits have yet to be fully demonstrated.

Nonequilibrium quasiparticles might sound like a bogeyman lurking in the shadows of superconducting quantum computing efforts, but they are just another item in the list of engineering and scientific challenges that must be met to make quantum computing a robust reality. There are many reasons to be optimistic: Recent research efforts have given more insight into quasiparticles generation mechanisms and have provided a clear direction for future mitigation efforts.

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Quasiparticle poisoning in superconducting quantum computers ... - American Institute of Physics