Quantum Computers

3 Stocks to Take Advantage of the $72 Billion Quantum Computing Industry

Quantum computing hasn't hit the mainstream yet, but it's coming. Several companies are excited about the prospects of quantum computing and how it can transform how we do business. McKinsey & Company estimates that the quantum computing market could be worth up to $72 billion annually by 2035. That's a major market opportunity to capture. There are several competitors in this space, but I think three stocks are primed to do well. If you're looking to get started investing in quantum computing, I think these three make for an excellent core to build a section of your portfolio around. IonQ The biggest problem with quantum computing right now is inaccuracy. Quantum computers use particles to perform computations, and measuring what's happening at the atomic level is difficult in the presence of significant background noise. So inaccuracies can easily enter a calculation. Every company in the quantum computing space is trying to solve this problem, but nobody has technology as accurate as IonQ (IONQ 1.76%). While most companies struggle to reach 99.9% accuracy, IonQ has already achieved 99.99%. NYSE: IONQ Key Data Points As computing systems get larger, errors can compound. As a result, many available quantum computing devices are relatively small and cannot handle large workloads. However, IonQ is building a 256-qubit quantum computer using the same technology that enabled 99.99% accuracy. If this computer is successful, it puts IonQ on the fast track to becoming one of the top quantum computing investments. Alphabet Alphabet (GOOG 2.09%) (GOOGL 2.34%) is one of the legacy tech companies competing in quantum computing, and it has announced several breakthroughs. Alphabet is self-funding its quantum research, unlike others that must raise capital from the public markets. If it can develop a viable quantum computer, it already has the infrastructure set up to monetize it

May 20, 2026 · via fool.com

Mapping the positions of Two-Level-Systems on the surface of a superconducting transmon qubit

Abstract The coherence of superconducting quantum computers is severely limited by material defects that create parasitic two-level-systems (TLS). Progress is complicated by lacking understanding how TLS are created and in which parts of a qubit circuit they are most detrimental. Here, we present a method to determine the individual positions of TLS at the surface of a transmon qubit. We employ a set of on-chip gate electrodes near the qubit to generate local DC electric fields that are used to tune the TLS’ resonance frequencies. The TLS position is inferred from the strengths at which TLS couple to different electrodes and comparing them to electric field simulations. We found that the majority of detectable surface-TLS was residing on the leads of the qubit’s Josephson junction, despite the dominant contribution of its coplanar capacitor to electric field energy and surface area. This indicates that the TLS density is significantly enhanced near shadow-evaporated electrodes fabricated by lift-off techniques. Our method is useful to identify critical circuit regions where TLS contribute most to decoherence, and can guide improvements in qubit design and fabrication methods. Introduction The nature of two-level tunneling systems (TLS) in amorphous materials has been puzzling generations of physicists1. Today, TLS are recognized as the primary source of decoherence in superconducting qubits. A type of TLS that was well-studied in glasses is thought to originate in the tunneling of a single or a few atoms between two slightly different locations in the disordered material as illustrated in Fig. 1a2. In superconducting circuits, amorphous surface oxides on electrodes and those used for tunnel barriers of qubit junctions are thus a known host for TLS3,4,5,6,7,8. In addition, microfabrication techniques were shown to spoil the crystallinity of the substrate and to leave residuals of glassy photoresist9,10,11. There is a variety of other models of

May 20, 2026 · via nature.com

Building Quantum Networks on Classical Fiber Infrastructure

There have been tremendous advances in quantum computing technologies over the past decade, from noisy intermediate-scale machines to the emergence of fault-tolerant ones. A growing number of vendors are now commercializing small-scale quantum computers built on a variety of qubit platforms. Many have plans to scale them to what is referred to as “utility scale”—devices capable of tackling problems beyond the reach of classical high-performance computing. These scaling strategies often rely on the notion of modularity, wherein quantum hardware units of manageable size are mass produced and interconnected via a quantum network. This trajectory is reminiscent of the evolution of classical communications and networking, which ultimately led to the distributed computing that is so ubiquitous today. The advances in quantum networks, however, have so far been motivated by the security concerns arising from developments in quantum computing. A sufficiently large quantum computer running Shor’s algorithm, a quantum computing method developed by Peter Shor in 1994 that enables the factorization of large integers exponentially faster than classical algorithms, would pose a direct threat to the current public-key cryptographic infrastructure if alternative solutions are not implemented. Quantum key distribution (QKD) is one such technology that can potentially update encryption keys at a faster rate than a quantum computer could compromise them via Shor’s algorithm, thus providing an additional layer of security at the physical layer of the network. Embedding QKD technology into modern optical communications and networking infrastructure is challenging, but significant progress has been made through the development of techniques for “quantum-classical coexistence.” Similar techniques are now being extended to support more advanced quantum protocols within the existing fiber optic communications infrastructure. The study of quantum-classical coexistence is nearly as old as experimental quantum communication itself, having been immediately identified as a central engineering challenge for real-world use and dictating a

May 20, 2026 · via optica-opn.org

Waterloo startup is developing hardware components for quantum computers

Waterloo startup is developing hardware components for quantum computers May 19, 2026 By Naomi Grosman, Institute for Quantum Computing Institute for Quantum Computing research spin-off QuantumCore gains fast momentum with $10.7 million in funding Talking Points A new startup, QuantumCore, has secured $10.7 million in funding and a public listing on the Canadian Securities Exchange just over six months after its launch. Co-founded by Dr. Christopher Wilson and Eugene Profis, the company is developing an amplifier to enhance read-out signals from superconducting quantum chips, addressing key engineering challenges in quantum computing. - QuantumCore raised $9 million through private placements and received an additional $1.7 million from the Natural Sciences and Engineering Research Council of Canada’s Alliance Grant program. - The startup aims to support quantum computing companies in developing scalable components for commercial quantum computers. - QuantumCore has expanded its team and established a lab in Waterloo to leverage local expertise in quantum technology. This development highlights Canada's growing role in the quantum technology sector and the potential for innovation in commercial applications of quantum computing. A new startup spun out of research at the Institute for Quantum Computing (IQC) at the University of Waterloo is accelerating its push toward commercialization with $10.7 million in dilutive and non-dilutive funding and a public listing after launching just more than six months ago. QuantumCore was co-founded by Dr. Christopher Wilson, IQC faculty and Chief Technology Officer, and Eugene Profis, CEO. The company is developing an amplifier that boosts read-out signals produced by a superconducting quantum chip at near absolute zero temperatures and gets the signal into room temperature. This could solve one of the many hard engineering challenges in quantum computing. “It’s a necessary product for quantum computing companies that are just a few years away from launching computers with thousands of

May 20, 2026 · via ept.ca

Prediction: This Will Be Rigetti Computing's Stock Price in 1 Year | The Motley Fool

Rigetti Computing (RGTI 3.97%), a developer of quantum computing systems, set a record high of $56.34 per share last October. At the time, investors were willing to pay a premium for Rigetti's early mover's advantage in the nascent quantum computing market. But today, Rigetti's stock trades at about $16. It pulled back as it grappled with tough competition, steep losses, and macro headwinds that deflated its valuation. Will it bounce back over the next 12 months, or will it sink even lower? How fast is Rigetti Computing growing? Quantum systems can perform certain computing tasks much faster than classical computers, but they're larger, pricier, and more power-hungry. They're also generally less accurate. But over the next few years, quantum companies like Rigetti could address those issues with smaller, cheaper, and more scalable systems that achieve higher error detection rates. NASDAQ: RGTI Key Data Points Rigetti produces modular and non-modular quantum processing units (QPUs), installs them in its own systems, and provides remote access to those systems via its cloud-based Quantum Computing Services (QCS) platform. The company directly sells its Novera QPUs -- which are stand-alone, non-modular systems with nine qubits of processing power -- to government agencies and research institutions. It also operates more powerful non-modular (Ankaa) and modular (Cepheus) systems, but they mainly support its QCS platform. Over the past few years, Rigetti's revenue growth has been lumpy with widening net losses. That's because its growth was driven by an uneven mix of government and research contracts, occasional Novera shipments, and occasional use of its QCS platform rather than predictable, recurring revenues. It also remains deeply unprofitable. | Metric | 2022 | 2023 | 2024 | 2025 | |---|---|---|---|---| | Revenue | $13.1 million | $12.0 million | $10.8 million | $7.1 million | | Net Loss | ($71.5

May 19, 2026 · via fool.com

Prediction: Rigetti Computing Stock Will Be Worth This Much in 1 Year

Key Points Rigetti Computing has built some of the world's best quantum computers, but they still produce relatively high error rates. The company's flagship Cepheus-1-108Q system is now widely available through third-party cloud platforms like Amazon Braket and Microsoft Azure Quantum. Rigetti's revenue nearly tripled during the first quarter of 2026, but that might not be enough to overcome the company's sky-high valuation. Quantum computers are an incredible innovation. They use a concept called superposition to simulate several different solutions to a given problem at once, so they're more efficient than traditional computers at processing specific workloads, particularly in areas like science and cryptography. Rigetti Computing(NASDAQ: RGTI) has built some of the industry's most capable quantum computers, but they still produce relatively high error rates, making them impractical for solving many real-world problems. As a result, the company is struggling to generate meaningful revenue. Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue » Rigetti stock has plummeted 61% from last year's record high; here's where I predict it could be in 12 months. Rigetti's most powerful computer is now widely available Rigetti is unique because it built an entire in-house supply chain for its quantum computing business. It operates a fabrication facility, it created its own programming language called Quil, and it even launched its own cloud platform where it leases quantum computing capacity to enterprises for a fee. Therefore, Rigetti can bring new computers to market and commercialize them much faster than its competitors. During the first quarter of 2026, the company made its flagship Cepheus-1-108Q system widely available through its own cloud platform, but also through third-party platforms including Amazon Braket and Microsoft Azure

May 19, 2026 · via theglobeandmail.com

Prediction: Rigetti Computing Stock Will Be Worth This Much in 1 Year | The Motley Fool

Quantum computers are an incredible innovation. They use a concept called superposition to simulate several different solutions to a given problem at once, so they're more efficient than traditional computers at processing specific workloads, particularly in areas like science and cryptography. Rigetti Computing (RGTI 3.79%) has built some of the industry's most capable quantum computers, but they still produce relatively high error rates, making them impractical for solving many real-world problems. As a result, the company is struggling to generate meaningful revenue. Rigetti stock has plummeted 61% from last year's record high; here's where I predict it could be in 12 months. Rigetti's most powerful computer is now widely available Rigetti is unique because it built an entire in-house supply chain for its quantum computing business. It operates a fabrication facility, it created its own programming language called Quil, and it even launched its own cloud platform where it leases quantum computing capacity to enterprises for a fee. Therefore, Rigetti can bring new computers to market and commercialize them much faster than its competitors. During the first quarter of 2026, the company made its flagship Cepheus-1-108Q system widely available through its own cloud platform, but also through third-party platforms including Amazon Braket and Microsoft Azure Quantum, giving it unprecedented reach. NASDAQ: RGTI Key Data Points Cepheus-1-108Q is the industry's largest multichip quantum computer. It features 108 qubits, so it offers 3 times the scale of Rigetti's previous Cepheus-1-36Q system. It also boasts a single-qubit gate fidelity of 99.9%, which means it only makes one error in every 1,000 quantum operations. That error rate still makes Cepheus-1-108Q impractical for solving many real-world problems. Moreover, it has a 2-qubit fidelity of just 99.1%, implying nine errors for every 1,000 quantum operations. Qubits are extremely sensitive to noise, so making two of them

May 19, 2026 · via fool.com

The Hidden Players Powering The Future Of Quantum Computing

Dr. Pravir Malik is the founder and technologist of QIQuantum and the Forbes Technology Council Community leader for Quantum Computing. The race to build practical quantum computers often dominates headlines, but the future of the quantum industry will depend on far more than the companies designing the machines themselves. The quantum era creates opportunities for companies that provide the tools, infrastructure, applications and expertise needed to make the technology accessible and impactful. To help industry leaders turn quantum computing from a scientific breakthrough into a usable technology, I ask members of the Quantum Computing Group, a community that I lead through Forbes Technology Council, for major contributions from companies that lie outside the mechanics. 1. Workforce Talent Pipelines A company makes a lasting quantum impact by pioneering workforce talent pipelines. Embedding quantum literacy into corporate training, sponsoring university fellowships, and building simulation sandboxes where engineers explore quantum logic sans hardware cultivates a ready talent pool. This human infrastructure investment addresses the industry's most critical bottleneck: skilled practitioners who bridge abstract quantum theory with tangible, real-world and enterprise-ready deployment at scale. - Jagadish Gokavarapu, Wissen Infotech 2. Open-Source Standards You don't need to build the brain of a quantum computer to help the industry grow; you can build the bridge. Companies can contribute by developing open-source standards that make quantum tools easier for businesses to use. By creating a common language that connects new hardware to real-world problems, you help turn a complex science experiment into a useful tool for everyone. - Mahendran Chinnaiah Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify? 3. Quantum-Ready Algorithms The quantum era won’t be defined by those who build qubits, but by those who make them matter. Companies that design quantum-ready algorithms, engineer error-resilient workflows and

May 19, 2026 · via forbes.com

Incorporating Quantum Computing Into Genesis Mission Could Help Address the AI Energy Crunch

Incorporating Quantum Computing Into Genesis Mission Could Help Address the AI Energy Crunch COMMENTARY As demand for computing power surges with increased adoption of AI, incorporating energy-efficient solutions is becoming a national priority. Artificial intelligence is increasingly essential across public and private sectors, serving as an important tool to help modernize systems, strengthen security and tackle complex challenges. From calls to greater use of AI across the government to the Genesis Mission, a program focused on next-generation technologies, including AI and advanced computing infrastructure, the rapid pace of AI adoption is placing a strain on the infrastructure required to support it. The United States is facing a growing compute and energy crunch driven by the massive processing power needed to train and run advanced AI systems. This challenge is substantial and immediate. The Electric Power Research Institute’s projection that AI data centers alone could consume up to 9% of U.S. electricity generation by 2030 raises concerns about potential energy shortages and higher electricity costs for consumers. At the same time, the electric grid faces a fundamental timing mismatch: demand from AI is rising now, while new infrastructure can take a decade or more to permit, approve and build. To meet this challenge, companies are considering building their own power plants, while others are exploring ambitious long-term concepts for next-generation AI infrastructure, such as orbital data centers. While intriguing, another option should also be considered. Quantum computing, specifically annealing quantum computing, offers a more immediate pathway for energy efficient computing by helping solve certain computationally complex problems more efficiently and potentially reducing the amount of classical compute required across AI workflows. Optimizing AI workflows could also play a meaningful role in improving AI’s energy efficiency, easing infrastructure strain and enabling more sustainable scaling of advanced AI systems. In fact, a breakthrough

May 19, 2026 · via thewellnews.com

Quantum machine learning for predicting anastomotic leak: a clinical study

Abstract Anastomotic leak is a life-threatening complication following colorectal surgery. This study benchmarks Quantum Neural Networks (QNNs) against hyperparameter-tuned classical models (logistic regression, multi-layer perceptrons, boosting algorithms) for anastomotic leak prediction. Using a 200-patient clinical dataset strictly bounded by a priori medical constraints, we simulated QNNs with ZZFeatureMap encoding and EfficientSU2/RealAmplitudes ansatze under realistic hardware noise. To ensure statistical reliability, performance metrics were averaged across 10 independent optimization runs. The EfficientSU2-BFGS configuration achieved the highest mean AUC of $0.797 \pm 0.024$, while RealAmplitudes with CMA-ES maximized Average Precision ($0.504 \pm 0.121$). Crucially, at a fixed, clinically necessary sensitivity of $83\%$, specific QNN configurations achieved significantly higher specificity (up to $66\%$) and Negative Predictive Value (up to $96\%$) compared to classical models (maximum $44\%$ and $94\%$, respectively), effectively minimizing false positives. However, classical models maintained superior probability calibration for continuous risk stratification. We conclude that QNNs offer robust discriminative performance for clinical screening, warranting further validation on larger, independent cohorts. Similar content being viewed by others Introduction Anastomotic leak is a serious and potentially life-threatening complication arising from surgical procedures involving anastomosis, such as bowel resection, where two ends of a bowel are surgically connected. Anastomotic leak occurs when the connection fails to heal, resulting in leakage of contents into the abdominal cavity. In the case of bowel surgery, this can lead to peritonitis, sepsis, and other severe outcomes. Numerous risk factors, including smoking, malnutrition, immunosuppression, and prolonged operation times, have been associated with an increased likelihood of anastomotic leak. Despite advancements in surgical techniques and perioperative care, accurately predicting and managing the risk of anastomotic leak remains a critical challenge. In this context, leveraging statistical and machine learning methodologies to identify key risk factors and develop predictive models is crucial for improving patient outcomes. ML offers the potential to process

May 19, 2026 · via nature.com

Q-Day Is Coming: Major Crypto Upgrades in the Making | VanEck

Welcome to VanEck Select Investor Type 19 May 2026 Quantum computers don't just compute faster. They compute differently. And for the mathematical puzzles that secure nearly all digital communication, that difference is existential. Classical computers process information in binary bits, each a 0 or a 1. Quantum computers use qubits, which can exist in multiple states simultaneously through a property called superposition. Combined with entanglement, where qubits become correlated regardless of distance, quantum machines can explore many solution paths at once, delivering exponential speedups on specific problem classes. Two algorithms sit at the center of the quantum threat to cryptography. Shor's algorithm can factor large numbers and solve discrete logarithm problems in polynomial time, directly threatening RSA and elliptic curve cryptography (ECC). Grover's algorithm provides a quadratic speedup for brute-force search, weakening symmetric encryption and hash functions, though these can generally be defended by doubling key lengths. Virtually everything that secures the modern internet, including HTTPS, TLS, SSH, VPNs, digital signatures, and software update verification, relies on ECC or RSA. A sufficiently powerful quantum computer running Shor's algorithm could derive private keys from public keys, forge certificates, intercept encrypted sessions and push malicious software updates signed with forged keys. Crucially, the threat isn't limited to future communications. Nation-state actors are already engaged in bulk collection of encrypted traffic, including diplomatic cables, military communications, and corporate secrets, stockpiling it for the day quantum decryption arrives. Google recently published a warning that organizations should secure the quantum era with post-quantum cryptography no later than 2029. Source: IBM Quantum Roadmap, Google AI Blog, Fujitsu/RIKEN, IonQ, Atom Computing, Quantinuum. Maximum qubit counts in flagship quantum processors, 2019–2026. IBM 2026 figure (4,158) represents three linked Kookaburra chips. The pace of progress in 2026 has been extraordinary. In March, IBM demonstrated its Kookaburra processor, a 1,386-qubit

May 19, 2026 · via vaneck.com