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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

UK Minister: Military Aircraft Must Be Ready For Quantum Computing – Aviation Week

LONDONThe aircraft on display at the Royal International Air Tattoo (RIAT) this weekend all lack a quantum computing system, and if they cannot quickly take on board the emerging technology when it becomes available they risk becoming obsolete, a UK minister says.

Im conscious that all of you are off for an orgy of technology and kit and noise down in Gloucester, said James Heappey, the UK Minister of the Armed Services, speaking July 13 at the Global Air & Space Chiefs Conference here.

But he urged the audience of air and space chiefs and their staffs to not get too excited about the technology on display or even the next generation of fighters in development if they lack the ability to harness the power of quantum computing in the future.

The danger is in that the generation of planes that we will be sold at Fairford over the next 72 hr., none of them have quantum computing in yet, Heappey said. All of them will be in service when quantum computing arrives.

Quantum computing remains in early development, but proposes to revolutionize the power of computers by exploiting quantum phenomena to make enormous calculations quickly and efficiently.

When those computers, instead of computing ones and zeros they are computing on atoms, Heappey continued, then the vastness of the noise of the ocean, or the vastness of the business of the skies or the vastness of everything thats happening with a human population on land can be understood and crunched by computers that are working at a speed that we cant imagine. It will enormously change what our armed forces can do. And weve got to be ready to spiral that into our machines when that moment comes.

Heappey compared the impact of quantum computing in military operations to the arrival of the tank and the machine gun.

We have to be able to buy aircraft, design aircraft where the moment that those computers are good to go, you can rip out whatever is there and chuck in the quantum computer, Heappey said. I think this is going to change warfare in the most profound way.

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UK Minister: Military Aircraft Must Be Ready For Quantum Computing - Aviation Week

Quantum Computers Could Be Truly Useful in Just Two Years – Popular Mechanics

IBM

As Sabrina Maniscalco, CEO of the quantum-computing start-up Algorithmiq, told Nature, These machines are coming.

If thats the case, if and when they get here, its going to kickstart a computing revolution. Quantum computers are built to be able to perform incredibly complex and energy-expensive operations with ease that current computers couldnt hope to match. They will open up whole new avenues of computing potential in a vast array of fields, and hopefully answer a lot of questions that we arguably dont even have to power to properly ask right now.

But before thats possible, developers have to get around one major stumbling block: quantum noise.

Quantum noise is basically interference, and it can come from a variety of sourceseverything from interfering radiation to temperature fluctuations. The more noise in a calculation, the more error in the answer. And while quantum bitsor qubitsare incredibly powerful, theyre also temperamental. Anything that can knock them out of their quantum state before the calculation is finished can introduce noise and, therefore, errors.

Ideally, researchers developing these computers want to find ways to actually eliminate this noise before it throws flags by creating what are known as fault-tolerant circuits. But until we figure out how to do that, scientists are working on error mitigation strategies. And thats exactly how IBM got their computer to make its breakthrough calculation.

The researchers took a look at what the noise in their circuits looked like, and mapped it out as well as they could. Then, once the computer had finished its initial calculation, they were able to basically go back in and subtract the noise from the computers answer. This allowed the team to generate a final answer with extremely limited noise pollution to a problem that IBM claims is actually real-world useful. Their calculations used all 127 qubits built into the Eagle processor and took up to 60 processing steps.

Now, this breakthrough isnt quite quantum supremacythe ability of quantum computers to solve problems that regular ones cant. Were most likely not there yet (though Google claimed to have hit that milestone in 2019), and some experts dont think we could ever get there simply through error mitigation.

And even though this quantum benchmark gets a lot closer to real-world useful than Googles claimed quantum supremacy experiment, the test still only modeled a significantly simplified version of the material it was asked to simulate. Simplified tasks are not out of the ordinary for developing new systems, but its important to contextualize the complexity of what these machines are doing.

But the breakthrough seems to be a step in the right direction, especially for the short-term. In theory, this experiment shows that there is promise in the idea of creating a useful quantum computer through error mitigation, even if we cant fully manage true error correction with fault-tolerant circuits just yet. It may be a worthwhile stopover before pretty much everybody, including IBM, sets their sights fully on a noise-free quantum computing system.

Even a little bit of useful quantum computing has the potential to really shake things up.

Associate News Editor

Jackie is a writer and editor from Pennsylvania. She's especially fond of writing about space and physics, and loves sharing the weird wonders of the universe with anyone who wants to listen. She is supervised in her home office by her two cats.

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Quantum Computers Could Be Truly Useful in Just Two Years - Popular Mechanics

Quantum Computing: Igniting a Digital Revolution That Will Change … – Medium

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Greetings fellow serial reader

Are you ready for the next big thing?

Lets dive into the fascinating future of quantum computing and explore its implications for the next stage of humanitys ever evolving story.

Strap yourself in, we have ground to cover and the world is changing fast.

First things first, what is quantum computing?

Well, its an entirely new way of processing information. Traditional computers use bits that represent either a 0 or a 1.

Quantum computers, on the other hand, use quantum bits, or qubits, which can represent a 0, a 1, or both simultaneously through a mind-bending concept called superposition.

This means that quantum computers can process an enormous amount of information in parallel, leading to unprecedented computational power.

So, what does this mean for us?

Buckle up, because the implications are vast.

Lets start with cryptography. Quantum computing has the potential to crack many of the encryption methods that currently keep our data secure.

As quantum computers can process large numbers at lightning speed, they could render many of todays encryption protocols obsolete.

This has spurred scientists to develop quantum-resistant encryption algorithms to safeguard our digital privacy in the post-quantum era.

Quantum computing also holds tremendous promise for drug discovery and material science.

The ability to simulate and analyze complex molecular interactions could revolutionize the way we develop new drugs, leading to more effective treatments for diseases that have eluded us for years.

Likewise, quantum computers can model and optimize the properties of materials, paving the way for breakthroughs in energy storage, superconductivity, and much more.

Furthermore, quantum computing is expected to have a profound impact on artificial intelligence.

Machine learning algorithms could be supercharged, allowing for more accurate predictions, faster training, and improved decision-making.

Quantum AI algorithms, such as quantum neural networks, could unlock new avenues of research and enable us to tackle problems that are currently computationally infeasible.

But wait, theres more!

Quantum computing also promises to revolutionize logistics and optimization problems.

With their immense processing power, quantum computers can rapidly find the most efficient routes for transportation, optimize supply chains, and solve complex scheduling problems.

This could lead to significant cost savings, reduced environmental impact, and improved overall efficiency in various industries.

Now, before you start picturing a world dominated by quantum computers, its important to mention that were still in the early stages of quantum computing development.

While weve made impressive strides, there are still numerous technical challenges to overcome, such as improving qubit stability, reducing errors, and scaling up the number of qubits.

But researchers and companies around the world are working tirelessly to address these hurdles and bring us closer to the quantum future.

In conclusion, quantum computing holds immense potential to reshape our world.

From revolutionizing cryptography to transforming drug discovery, AI, logistics, and beyond, this technology is poised to unlock unprecedented computational power.

While we may not see quantum computers on every desk just yet, the strides being made today are laying the groundwork for a future where the impossible becomes possible.

So, hold onto your thoughts, because the quantum revolution is more emergent than ever before!

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