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Quantum many-body simulations on digital quantum computers: State-of-the-art and future challenges - Nature.com

image:

Illustration of the cold-atom (neutral-atom) quantum computer in operation atKenji Ohmori group. (Graphic by Takafumi Tomita)

Credit: Takafumi Tomita (Kenji Ohmori group)

Institute for Molecular Science (hereinafter "the IMS"), National Institutes of Natural Sciences, has established a "Commercialization Preparatory Platform (PF)" to accelerate the development of novel quantum computers, based on the achievement of a research group led by Prof. Kenji Ohmori. The launch of the PF was made possible by collaboration with 10 industry partners, including companies and financial institutions.

The 10 partners that joined the PF include (listed alphabetically): blueqat Inc., Development Bank of Japan Inc., Fujitsu Limited, Groovenauts, Inc., Hamamatsu Photonics K.K., Hitachi, Ltd., and NEC Corporation.

With the PF in place, the IMS will leverage the expertise of the participating companies and seek for advice and support on matters related to commercialization, such as the processes of establishing a start-up company, developing domestically produced quantum computers, and R&D efforts to enable practical application of quantum computers and their associated services. It plans to launch a start-up company by the end of its FY2024 and begin the development of "cold (neutral) atom" quantum computers.

Background Fierce competition is underway globally for the development of quantum computers by various modalities. However, there remain a number of issues that need to be addressed in order to ensure that these computers can be used practically; these issues include the need to expand the scale of these computers and the ability to take measures against errors that may occur during computation. In recent years, the "cold (neutral) atom" modality, which uses individual atoms as qubits, has been attracting attention from industry, academia, and governments around the world as a revolutionary new method to overcome these issues. Another feature of the cold (neutral) atom modality is that it operates at room temperature and does not require any refrigerators, which are necessary for the superconducting qubit and silicon qubit modalities.

The Ohmori group at the IMS is leading the world in developing the cold (neutral) atom quantum computers. The group has a number of technological advantages and core competencies (*1), including "optical tweezers" and microscope technologies to control a large number of high-quality qubits on a flat surface, and "ultrafast two-qubit gates" that use an ultrafast laser to create a quantum entanglement between two qubits in just 6.5 nanoseconds. In particular, the two-qubit gates represent an important core technology that enables the extraordinary computational speed of quantum computers. In 2022, the ultrafast two-qubit gates developed by the Ohmori group achieved a disruptive innovation that accelerates the two-qubit gates of the conventional cold (neutral) atom method by two orders of magnitude at once.

By taking advantage of these technical advances and core competencies of the Ohmori group, the IMS will accelerate the development and commercialization of quantum computers in collaboration with its industry partners.

World's first demonstration of quantum supremacy using superconducting quantum computers in 2019 (*2) Message from Professor John Martinis, University of California, Santa Barbara: "Professor Kenji Ohmori and his team have recently made a major breakthrough to overcome the weakness of the neutral atom method by using ultrafast lasers to drastically accelerate its two-qubit gate by two orders of magnitude. Their optical tweezers and microscope technology for manipulating individual atomic qubits is also outstanding. The team is therefore an extremely promising candidate for the realization of a practical quantum computer in the near future. I would like to actively participate in and contribute to the practical application and commercialization of their quantum computer by making use of my experience."

Message from Yuki Takemori, General Manager, Innovation Promotion Office, Business Planning & Coordination Department, Development Bank of Japan Inc. Project General Manager of PF: "After the bursting of the bubble economy, the Japanese economy spent the 'lost 30 years' without a clue to its further growth. I expect that quantum computing will be a technology that will bring revolutionary evolution to mankind, similar to the Internet and artificial intelligence (AI). It will grow into an extremely important industry for Japan, acting as a catalyst for its development and advancement. The technological capabilities of Professor Kenji Ohmori and his team are a global treasure and a trump card for the revival of the Japanese economy. I expect that this project will spread its wings far and wide."

Message from Professor Kenji Ohmori, Institute for Molecular Science: "I would like to express my sincere gratitude for the support of such distinguished companies for the development of our cold-atom (neutral-atom) quantum computer. Although we have absolute confidence in our basic technology, the development of practical quantum computers requires the integration of a variety of 'enabling technologies' including conventional electronics, software, system engineering, and architecture. With the launch of this commercialization platform, we will further strengthen our development efforts and work hard to create a quantum computer that can contribute to our society as soon as possible."

Notes: (*1) Core competency: a defining capability that distinguishes an enterprise from its competitors (*2) Quantum supremacy: a demonstration of a quantum computer's advantage over classical computers, including supercomputers, to process calculations that would conventionally take a long time to process at unmatched speeds

Research Funding Cabinet Office / JST Moonshot R&D Program (JPMJMS2269) MEXT Quantum Leap Flagship Program (JPMXS0120181201)

Related Links Kenji Ohmori group: https://ohmori.ims.ac.jp/en/

Ohmori quantum computer project at the Moonshot Research and Development Program by the Cabinet Office of Japan: https://www.jst.go.jp/moonshot/en/program/goal6/69_ohmori.html https://ms-ohmoripm.ims.ac.jp/en/

Quantum Leap Flagship Program (MEXT Q-LEAP): https://www.jst.go.jp/stpp/q-leap/en/index.html

Source: Institute for Molecular Science, National Institutes of Natural Sciences

Contact: Kenji Ohmori (ohmori@ims.ac.jp), Kento Igami (igami@ims.ac.jp) Institute for Molecular Science, National Institutes of Natural Sciences Tel: +81-564-55-7459

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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IMS developing Japan's first "Cold (neutral) atom" quantum computers: new collaboration with 10 industry partners ... - EurekAlert

Ethereum gears up against quantum threats. How does the community react to Buterins new proposal, and how real is the danger?

The exponential advancement of quantum computing technology poses a daunting challenge to the blockchain platforms, potentially undermining the security protocols that form the bedrock of these networks, with Ethereum (ETH) being no exception.

In response to this pressing concern, Vitalik Buterin, co-founder of Ethereum, has spearheaded discussions on Ethereum Research, aiming to address and mitigate the vulnerabilities quantum computing introduces to Ethereum.

Buterin foresees a potential quantum emergency, where the advent of quantum computing capabilities could lead to large-scale theft of Ethereum assets.

To counter this impending threat, Buterin proposed a multifaceted approach, starting with the implementation of a hard fork of the Ethereum network.

This hard fork would effectively rewind the network to a state before any potential thefts occurred, requiring users to adopt new wallet software explicitly designed to thwart future attacks.

At the center of Buterins strategy lies the adoption of a new transaction type outlined in Ethereum Improvement Proposal (EIP) 7560. This transaction type leverages advanced cryptographic techniques, including Winternitz signatures and zero-knowledge proof technologies like STARKs, aiming to shield transactions from quantum attacks by safeguarding users private keys from exposure.

Furthermore, Buterin advocates for the integration of ERC-4337 account abstraction for smart contract wallets, increasing security by preventing the exposure of private keys during the signing process.

Account abstraction acts as a smart contracts wallet, enabling users to interact with the Ethereum network without possessing their private keys or needing to maintain Ether for transaction costs.

In the event of a quantum emergency, users who havent executed transactions from their Ethereum wallets would remain shielded, as only their wallet addresses are public.

Buterin also suggested that the infrastructure necessary to enact the proposed hard fork could theoretically commence development immediately.

The Ethereum community is actively discussing Buterins proposal for a hard fork strategy to protect Ethereum from possible quantum attacks. This topic has sparked both interest and concern among members.

While the importance of preparing for quantum threats is recognized, there is skepticism about how effective these measures will be against malicious users with access to quantum computing. DogeProtocol, a community member, has raised questions about identifying legitimate account holders versus attackers in scenarios where quantum computers can break into Ethereum wallets.

DogeProtocol suggested using NIST standardized algorithms combined with classical algorithms. However, this could lead to larger block sizes due to the bigger signature and public key sizes in many post-quantum methods.

Another community member, nvmmonkey, recommends a preemptive strategy. They suggest integrating a machine learning system in Ethereums node network to spot large, suspicious transactions that could indicate unsafe activities, triggering emergency protocols like the Stark emergence fork.

Blockchain technology, including cryptocurrencies like Bitcoin and Ethereum, relies on cryptographic algorithms such as the Elliptic Curve Digital Signature Algorithm (ECDSA) to secure transactions and maintain the integrity of the distributed ledger.

However, quantum algorithms, notably Shors algorithm developed by Peter Shor in 1994, pose a threat by potentially solving the discrete logarithm problem on elliptic curves, which is the basis for ECDSAs security.

This capability could allow a quantum computer to forge digital signatures and, thereby, control any funds associated with those signatures.

Quantum computers could also undermine other cryptographic practices within blockchain technology, including the process of hashing, which is central to mining and the creation of new blocks.

While hashing (e.g., SHA-256 in Bitcoin) is not directly broken by Shors algorithm, Grovers algorithm, another quantum algorithm, could theoretically speed up the process of finding a hashs preimage, though the speed-up is less dramatic than Shors for encryption.

Although current quantum computers are not yet capable of breaking ECDSA on a practical scale, the rapid pace of progress suggests that the threat could become real within the next few years. Google plans to construct a quantum computer capable of handling extensive business and scientific calculations error-free by 2029.

IBM recently presented IBM Quantum Heron, its most advanced quantum processor. This processor stands out for its high performance and low error rates. IBM also unveiled the IBM Quantum System Two, a new modular quantum computer. This system, already in operation in New York, is designed to tackle complex scientific and business calculations.

The quantum threat to current cryptography is a fact widely acknowledged by researchers. There is an increasing emphasis on developing and implementing quantum-resistant or post-quantum cryptographic algorithms.

For example, the National Institute of Standards and Technology (NIST) has initiated a process to evaluate and standardize quantum-resistant public-key cryptographic algorithms. These could be crucial steps towards maintaining the security and resilience of blockchain and other digital infrastructure in the face of quantum computing.

As quantum computers capabilities evolve, the collaborative engagement of researchers, developers, and policymakers will become essential.

By prioritizing the development and integration of quantum-resistant cryptographic solutions, the blockchain community can safeguard sensitive information, preserve digital trust, and ensure the continued viability of blockchain in the quantum era.

Read more:
The quantum emergency: Ethereum's race against time - crypto.news

As quantum computing evolves, a new era unfolds, promising breakthroughs that span industries, sciences, and the very fabric of our technological future.

In the realm of modern technology, where the pursuit of computational power knows no bounds, quantum computing has emerged as a groundbreaking paradigm shift. This article explores the significance of quantum computing and traces its evolution, providing insights into its transformative potential for the future.

Quantum development frameworks and simulation tools play a pivotal role in quantum computing, providing essential resources for researchers and developers to explore and harness the unprecedented capabilities of quantum systems. These tools are the backbone of quantum programming, offering platforms for designing, simulating, and optimising quantum algorithms before deployment on actual quantum processors. These frameworks and tools, which include IBMs Qiskit and Googles Cirq, not only propel quantum algorithm development but also contribute to the collaborative and dynamic landscape of quantum research and innovation.

Qiskit stands at the forefront of quantum development frameworks, spearheaded by IBM as an open source initiative. It provides a robust and comprehensive toolkit for quantum computing, offering a wide array of features that cater to both novices and seasoned quantum developers.

Key components

Qiskit Terra: At the heart of Qiskit is Terra, the foundational component for quantum circuit design and optimisation. Terra allows users to define and manipulate quantum circuits with ease, enabling the creation of complex algorithms through a straightforward and intuitive interface.

Qiskit Aer: Qiskit Aer is a high-performance simulator designed for accurate quantum circuit simulations. This component is instrumental during the development phase, allowing developers to test and debug quantum algorithms before deploying them on actual quantum hardware. Aer supports a variety of noise models, enhancing the fidelity of simulations.

Qiskit Ignis: Addressing the challenges of noisy quantum processors, Qiskit Ignis provides tools for characterising and mitigating errors in quantum systems. Ignis enables developers to optimise the performance of quantum algorithms in the presence of noise, contributing to the advancement of practical quantum computing.

Qiskit Aqua: Qiskit Aqua extends Qiskits capabilities into domain-specific libraries for quantum applications. It includes functionalities tailored for chemistry, finance, and optimisation, opening doors to innovative solutions in fields that stand to benefit from quantum computing advancements.

Integration with quantum hardware

Qiskit seamlessly integrates with IBMs cloud-based quantum processors, allowing developers to execute their quantum algorithms on real quantum hardware. This integration facilitates a bridge between simulation and practical implementation, providing valuable insights into the behaviour and performance of algorithms in a quantum environment.

The future of Qiskit

As quantum computing continues to evolve, Qiskit remains at the forefront, adapting to technological advancements and expanding its capabilities. With its modular architecture, rich documentation, and constant updates, Qiskit continues to be a cornerstone for those navigating the quantum landscape, empowering them to explore, experiment, and innovate in the realm of quantum computing.

Cirq, developed by Google, is purpose-built for crafting and optimising quantum circuits. This powerful tool in the quantum programmers arsenal offers specialised features tailored to the unique challenges posed by quantum computing.

Key components

Qubits and circuits: Cirq provides an intuitive approach to defining qubits and constructing quantum circuits. Developers can seamlessly express quantum algorithms in a language that reflects the intricacies of quantum mechanics, enhancing the clarity and expressiveness of quantum programming.

Noise models and quantum virtual machines: Understanding and mitigating the impact of noise on quantum algorithms is critical. Cirq allows developers to simulate and analyse noise models, providing insights into the behaviour of algorithms in real-world, imperfect quantum processors. Quantum virtual machines in Cirq enable simulations on classical hardware, facilitating robust testing and debugging.

Integration with Google quantum processors: Cirq seamlessly integrates with Googles quantum processors, offering a direct path for developers to implement and execute their quantum algorithms on cutting-edge hardware. This integration aligns Cirq with Googles quantum computing efforts, providing users with the opportunity to harness the capabilities of actual quantum processors.

Future endeavours

Googles commitment to pushing the boundaries of quantum research ensures that Cirq remains a dynamic and adaptable framework, offering a platform that bridges the gap between theoretical quantum algorithms and practical implementations on emerging quantum processors.

The Microsoft Quantum Development Kit represents a comprehensive and integrated set of tools, designed to empower developers in the realm of quantum computing. Anchored by the Q# programming language, this kit combines a versatile programming language, a robust development environment, and powerful simulators to facilitate quantum algorithm development.

Key components

Q# programming language: Central to the quantum development kit is Q#, a domain-specific programming language tailored for expressing quantum algorithms. Q# seamlessly integrates with classical languages like C# and F#, allowing developers to create hybrid quantum-classical applications with ease. Its high-level abstractions simplify quantum circuit design.

Quantum simulators: The Quantum Development Kit comes equipped with quantum simulators that enable efficient testing and debugging of quantum code. These simulators provide an essential environment for developers to simulate the behaviour of quantum algorithms on classical hardware, aiding in the refinement of quantum solutions before deploying them on actual quantum processors.

Quantum libraries and samples: The kit includes a rich set of quantum libraries and code samples, accelerating the learning curve for developers venturing into the quantum landscape. These resources provide practical insights into the implementation of quantum algorithms and applications across various domains.

Outlook and evolution

As quantum computing advances, Microsofts Quantum Development Kit continues to evolve. With ongoing updates and enhancements, it remains at the forefront of quantum development frameworks. The commitment to combining theoretical advances with practical tools positions it as a key player in shaping the future of quantum computing and its integration into mainstream application development.

Quipper is a distinctive player in the quantum computing landscape, offering a functional, scalable programming language designed for expressing quantum algorithms. Developed through a collaboration between Microsoft Research and the University of Oxford, Quipper embraces the principles of functional programming to provide a structured and versatile approach to quantum circuit design.

Key features

Functional quantum programming: Quippers primary strength lies in its functional programming paradigm, allowing developers to express quantum algorithms in a modular and composable manner. This functional approach enhances code readability and maintainability, offering a unique perspective in the world of quantum programming.

Modularity and scalability: Quipper excels in handling complex quantum algorithms by providing a modular and scalable architecture. Quantum circuits can be designed in a hierarchical fashion, facilitating the construction of intricate algorithms while maintaining code clarity. This modularity enables quantum programmers to build on existing libraries and efficiently manage the complexity of large-scale quantum computations.

Quantum gate library: Quipper comes equipped with an extensive library of quantum gates and operations. This library simplifies the process of designing quantum circuits, allowing developers to leverage a broad range of quantum gates seamlessly. The library is an essential resource for quantum information scientists and researchers working on diverse quantum algorithms.

Future prospects

As the field of quantum computing evolves, Quipper stands poised to play a pivotal role in advancing functional quantum programming. Its focus on modularity, scalability, and integration with classical languages positions it as a tool that could significantly impact the development of intricate quantum algorithms and contribute to the broader landscape of quantum software development.

QuTiP, short for Quantum Toolbox in Python, is a powerful open source software suite designed for quantum computing research. Leveraging the versatility and ease of use of the Python programming language, QuTiP provides a comprehensive set of tools for simulating and analysing quantum systems, making it an invaluable resource for researchers and developers in the quantum information science community.

Key features

Python-based quantum simulation: At its core, QuTiP is built on Python, making it accessible to a wide range of researchers and developers familiar with this popular programming language. Its Pythonic syntax and integration with other scientific computing libraries contribute to a seamless and user-friendly experience.

Quantum operator library: QuTiP offers a rich library of quantum operators and functions, allowing researchers to model and simulate a diverse array of quantum systems. This includes the ability to represent Hamiltonians, Lindblad operators for open quantum systems, and other essential quantum operators, providing a flexible foundation for quantum dynamics simulations.

Quantum states and dynamics: Researchers benefit from QuTiPs capabilities in simulating quantum states and the dynamics of open quantum systems. This is crucial for studying the behaviour of quantum systems over time, making QuTiP an ideal tool for investigations in quantum information theory, quantum optics, and related fields.

Visualisation tools: QuTiP includes visualisation tools that aid researchers in gaining insights into quantum systems. The ability to plot and visualise quantum states, probabilities, and expectation values provides an intuitive means of interpreting simulation results, enhancing the understanding of complex quantum phenomena.

Application areas

Quantum optics: QuTiP is extensively used in the simulation of quantum optics experiments, including the study of cavity quantum electrodynamics, quantum optics phenomena, and quantum information processing with optical systems.

Quantum information processing: Researchers utilise QuTiP for simulating quantum algorithms, quantum error correction, and other aspects of quantum information processing. Its flexibility makes it suitable for a wide range of quantum computing applications.

Quantum control: QuTiP supports the simulation of quantum control scenarios, allowing researchers to explore optimal control strategies for manipulating quantum systems.

Future development

As the field of quantum computing continues to advance, QuTiP remains actively developed, adapting to emerging research trends and technological advancements. Its open source nature ensures that the community-driven efforts behind QuTiP contribute to its relevance in the rapidly evolving landscape of quantum research and computation.

Quantum Tic-Tac-Toe: Quantum Tic-Tac-Toe is a fascinating adaptation of the traditional game, injecting quantum mechanics into the classic grid-based strategy. In this quantum variant, players are introduced to the concept of superposition, allowing a quantum piece to exist in multiple states simultaneously. Unlike classical Tic-Tac-Toe, where each cell can either be X or O or empty, quantum superposition introduces the possibility for a cell to contain both X and O states simultaneously until observed.

Quantum Chess: Quantum Chess fuses classic chess strategy with the principles of quantum mechanics. In this variant, developed by physicist Chris Cantwell, each piece on the board is assigned a quantum state, allowing it to exist in a superposition of multiple classical states simultaneously. This introduces an entirely new layer of complexity and strategy, as players can leverage the principles of superposition and entanglement to create intricate moves and surprise their opponents. The game introduces the concept of quantum moves, where a player can move a piece in a superposition of multiple ways until the move is observed. Additionally, entanglement enables the connection of pieces states across the board, causing the state of one piece to instantaneously affect another. Quantum Chess challenges players to think beyond the classical constraints of traditional chess, encouraging a deeper understanding of quantum concepts while delivering an intellectually stimulating and entertaining gameplay experience.

Quantum optimisation: Quantum optimisation represents a revolutionary paradigm in problem-solving, leveraging the computational capabilities of quantum computers to address complex optimisation challenges. Traditional optimisation problems, which arise in fields such as logistics, finance, and artificial intelligence, often become exponentially more challenging as the scale of the problem increases. Quantum optimisation algorithms, like the Quantum Approximate Optimisation Algorithm (QAOA), harness quantum parallelism and interference to explore vast solution spaces efficiently. Quantum optimisation algorithms excel at finding optimal solutions by leveraging the inherent properties of superposition and entanglement. These algorithms can potentially outperform classical optimisation approaches for certain problem instances, offering a promising avenue for industries seeking to enhance efficiency and streamline decision-making processes.

Quantum computing holds immense promise in transforming both cybersecurity and Artificial Intelligence (AI) landscapes. The advent of quantum computers poses a potential threat to classical cryptographic methods, particularly those relying on factorisation and discrete logarithm problems. Conversely, quantum-safe cryptographic algorithms, such as those based on lattice cryptography or hash-based techniques, are being developed to fortify digital security in anticipation of quantum threats. The race to quantum-proof encryption methods is crucial for ensuring the resilience of sensitive data against the exponentially enhanced computational power of quantum adversaries.

On the AI front, quantum computing offers exciting prospects for accelerating machine learning algorithms. Quantum Machine Learning (QML) algorithms leverage quantum principles to enhance the efficiency of tasks such as pattern recognition, optimisation, and data analysis. Quantum computers, with their ability to process vast data sets and explore complex solution spaces simultaneously, have the potential to outperform classical computers in certain machine learning applications. The synergy between quantum computing, cybersecurity, and AI opens new frontiers for technological advancement, calling for interdisciplinary research to harness quantum capabilities for both securing digital landscapes and enhancing the efficiency of intelligent systems.

It is evident that we stand at the precipice of a transformative era in computational science. The interplay between quantum hardware and software tools, exemplified by platforms like Qiskit, Cirq, and Q# along with cloud services, not only fosters innovation in quantum research but also beckons researchers, developers, and enthusiasts to collectively push the boundaries of our computational capabilities. Quantum technologies hold immense promise for addressing complex problems, from optimisation and cryptography to machine learning and drug discovery.

Read more from the original source:
The Evolution, Impact, and Applications of Quantum Computing - Open Source For You

Much like the artificial intelligence stock boom, we could see a similar rally with some of the topquantum computing stocksto buy. Quantum computing allows us to solve problems far too complex for your average computer, within minutes, or even seconds.

In fact, it may be able to help speed up solutions for machine learning, cybersecurity, medical treatments, the law, and education. Most exciting is its potential use in drug discovery.According to Medriva.com, The pharmaceutical industrys quest for new drugs is both vital and incredibly challenging, involving the screening of millions of compounds and rigorous testing.

However, with quantum computing, the industry could accelerate the identification and development of new pharmaceuticals by efficiently simulating molecular interactions on a quantum level,they added.

Can you imagine if quantum computing helped cure cancers?

No wonder governments all over the world are pledging billions to get quantum computing up and running in the next decade, according to the State of Quantum 2024 report.

With that, here are just a few top quantum computing stocks to buy and hold today.

Source: T. Schneider / Shutterstock

The last time I mentionedD-Wave Quantum(NYSE:QBTS), it traded at about 90 cents. At the time, I noted, Most recently, itinked a dealwithDeloitteto speed up quantum computing adoption for governments and companies all over Canada. Its even been working with Deloitte on transportation and national security issues in the U.S., too. Even better, the company isseeing quarter-over-quarter, and year-over-year growthin revenue, and customer bookings.

By Feb. 20, it was up to $2.17. Now at $1.43, I still like it long-term.

Fueling the upside, the company also just announced theavailability of its 1,200+ Qubit Advantage2prototype. According to the companys site, the new tool demonstrates significant performance gains on hard optimization problems and is expected to be particularly powerful for new use cases such as machine learning.

Helping, as noted in thecompanys investor deck, 80% of companies plan to increase their use of quantum computing over the next two to three years. Also, nearly 31% of companies have already abandoned complex problems they face because of the time to solve them.

Source: Bartlomiej K. Wroblewski / Shutterstock.com

Another one of the top quantum computing stocks to buy isRigetti Computing (NASDAQ:RGTI).

Over the last few weeks, the RGTI stock popped from about 95 cents to a high of $2.20. While its starting to pull back on profit-taking, RGTI is another hot quantum computing stock to buy and hold for the long haul.

Helping, analysts atAlliance Global Partnersjust initiated coverage of the RGTI stock with a buy rating, with a price target of $3.50.

There is a race to achieve quantum advantage and as the only company to publicly report multiple sales of a quantum computer at 99% fidelity, the firm said,as quoted by TheFly.com. The firm estimates revenue of $14.3M in 2024 and $21M in 2025, adding that it expects the inflection points to be in 2026 and 2027.

Well get a better idea of how RGTI is doing when it posts fourth quarter and full year 2023 results on March 14.

In addition, the company and Riverlane, a leader in quantum error correction technology just announced their participation in a project led by the US Department of Energys Oak Ridge National Laboratory to explore the challenges of integrating a quantum computer with a large-scale, supercomputing center,as noted in a recent press release.

Source: Shutterstock

Or, if you just want to make life easier for yourself, you can just invest in the Defiance Quantum ETF(NYSEARCA:QTUM). With this ETF, you can diversify with 71 quantum computing and machine learning-related stocks for less than $62 a share.

Better, since bottoming out in late October around $44.25, the QTUM ETF is now up to $61.42. From here, Id like to see it closer to $70, even $80 given the strong appeal of quantum computing and machine learning stocks.

With anexpense ratio of 0.40%, the Defiance Quantum fund provides exposure to quantum computing, artificial intelligence, and machine learning stocks, with holdings inIntel(NASDAQ:INTC),Nvidia(NASDAQ:NVDA),MicroStrategy(NASDAQ:MSTR), Rigetti Computing,Advanced Micro Devices(NASDAQ:AMD), andApplied Materials(NASDAQ:AMAT) to name a few. Again, as we note with exchange-traded funds, its always better to be well diversified, especially with strong up-and-coming markets like quantum computing.

On the date of publication, Ian Cooper did not hold (either directly or indirectly) any positions in the securities mentioned. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

Ian Cooper, a contributor to InvestorPlace.com, has been analyzing stocks and options for web-based advisories since 1999.

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The Top 3 Quantum Computing Stocks to Buy in March 2024 - InvestorPlace