The Future of Quantum Computing

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Supercurrents oscillate with quantum interference in nanojunctions
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Supercurrents oscillate with quantum interference in nanojunctions

Mikhail Kalenkov of the I.E.Tamm Department of Theoretical Physics, P.N.Lebedev Physical Institute, and Andrei Zaikin of the same institute, alongside National Research University Higher School of Economics, have demonstrated that superconducting nanojunctions with barrier transmissions slightly below unity exhibit pronounced, coherent oscillations of the supercurrent as a function of the Josephson phase. The researchers derived an effective Hamiltonian to model quantum dynamics, then solved a Schrödinger-like equation to obtain wave functions for Andreev levels and evaluate electric current. This work expands understanding beyond full-transmission junctions, offering insights into systems with diffusive barriers and refining existing models of quantum current flow. Andreev States and Effective Hamiltonian Derivation Researchers Mikhail S. Zaikin of the I.E.Tamm Department of Theoretical Physics, P.N.Lebedev Physical Institute, and National Research University Higher School of Economics, developed this Hamiltonian, which allows for the derivation of a Schrödinger-like equation. This equation reveals the wave functions that describe the behavior of these levels and enables the calculation of electric current flowing through the junction under an applied voltage. The theoretical framework builds upon existing understanding of both full and arbitrary transmissions in superconducting weak links, but specifically addresses a gap in knowledge concerning junctions with barriers just below unity. The researchers formulated a Schrödinger-like equation by substituting into their derived Hamiltonian, yielding a Hermitian effective Hamiltonian, H, with linear terms in χ(t) retained to account for long-term evolution and prevent decoherence. This approach is complementary to, and fully consistent with, the established physical picture of multiple Andreev reflections. The resulting equation allows for the construction of solutions describing the entire phase interval, even in reg

Aug 30, 2026

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Are we getting fault-tolerant quantum computing in 2028 or 2050?quantum-computing

Are we getting fault-tolerant quantum computing in 2028 or 2050?

I’m getting a bit confused by the timelines being thrown around at the moment. The US Department of Energy announced its Quantum Genesis programme in June, aiming for a “fault-tolerant, scientifically relevant quantum computing capability” by 2028: https://www.energy.gov/science/articles/energy-department-announces-initiative-create-and-deploy-worlds-first Meanwhile, Japan’s official Moonshot programme has “large-scale integration required for fault-tolerant universal quantum computers” pencilled in for around 2050: https://www8.cao.go.jp/cstp/english/moonshot/sub6_en.html Then there’s NIST’s quantum computing explainer, updated in May 2026, which says most applications are still “years, perhaps even decades, in the future”, and that a machine capable of running Shor’s algorithm could need millions of qubits able to operate error-free indefinitely: https://www.nist.gov/quantum-information-science/quantum-computing-explained Obviously they’re probably not all talking about the same thing when they say fault-tolerant quantum computing, but 2028 versus 2050 is still a pretty massive gap. So what actually explains the difference? What would count as a “fault-tolerant, scientifically relevant” machine in 2028, compared with the sort of large-scale fault-tolerant universal quantum computer Japan is aiming for by 2050? Basically, what can the 2028 machine realistically do that still leaves another couple of decades of work before you reach the 2050 version? submitted by /u/Chance-Pen-5684 [link] [comments]

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D-Wave Quantum's Massive Upside Meets a High-Stakes Valuation Realityquantum-computing

D-Wave Quantum's Massive Upside Meets a High-Stakes Valuation Reality

D-Wave Quantum (QBTS -5.08%) is moving from demonstrations into live enterprise workloads, where recurring cloud subscriptions could make its commercial model measurable. Production revenue is growing, contracted revenue is building, and customer use cases are expanding. The tension is valuation: investors are already paying for a much larger business than D-Wave has today. Stock prices used were the market prices of Aug. 18, 2026. The video was published on Aug. 29, 2026. Read NextAug 29, 2026 •By Anders BylundIs D-Wave Quantum a Buy?Aug 28, 2026 •By Johnny RiceWhy Did D-Wave Quantum Stock Fall 16.6% This Week?Aug 27, 2026 •By Will HealyIf You Invested $1,000 in D-Wave Quantum Stock 3 Years Ago, This Is How Much You Would Have TodayAug 26, 2026 •By Eric VolkmanWhy D-Wave Quantum Stock Was Plummeting TodayAug 24, 2026 •By Robert IzquierdoD-Wave Quantum vs. Rigetti Computing: Which Quantum Computing Stock Is a Better Investment in 2026?Aug 23, 2026 •By Robert IzquierdoWhat Does a D-Wave Quantum Insider's Sale of 23,850 Shares Mean for Investors?About the AuthorRick is a Wall Street Journal best-selling author with over 20 years of experience trading stocks and options. The most authoritative publications, including Good Morning America, Washington Post, Yahoo Finance, MSN, Business Insider, NBC, FOX, CBS, and ABC News, cover his work. His passion is business, and he works tirelessly to deliver content in an easy-to-understand manner. In 2018, Rick wrote The Financially Independent Millennial to inspire his readers with his story about becoming financially independent at age 35 despite not learning about money when he was younger. His books are easy to read and often refer to key points that “He would tell his younger self.” When not thinking about business, Rick writes (mainly about cruise ship travel) for his travel blog and is an enthusiast of fast cars, technology, & cooking.CMFrickorfordStocks MentionedD-Wave QuantumNASDAQ: QBTS$16.99(-5.08%)-$0.91Motley Fool

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Geometric phase gates boost ion qubit entanglement fidelityquantum-computing

Geometric phase gates boost ion qubit entanglement fidelity

Researchers at the National Institute of Standards and Technology and Lawrence Livermore National Laboratory have demonstrated a method for generating entanglement between trapped atomic ions with Bell state fidelities exceeding 0.99. The work realizes high-fidelity entangling operations by adiabatically ramping both the amplitude of state-dependent forces and the motional mode frequencies of trapped atomic ions. This technique functions effectively even with motional occupations up to 10 phonons, eliminating the need for extremely precise ground-state cooling and is well suited for both quantum logic spectroscopy applications and scalable quantum computing architectures. The controlled creation of high-fidelity entanglement is crucial for quantum applications across all physical platforms. Ramped Amplitude and Frequency for Entanglement Generation Bell state fidelities exceeding 0.99 have been consistently achieved using a method for generating entanglement between trapped atomic ions, demonstrating an improvement in the accuracy of quantum information processing. This level of fidelity, confirmed across a broad range of experimental parameters, does not surpass previous benchmarks. This advancement addresses a longstanding challenge in trapped ion quantum computing: the sensitivity of entanglement to the initial state of the ions’ shared motional modes. Traditionally, achieving high-fidelity entanglement demanded cooling these modes to their ground state, a process that introduces complexity and time overhead, particularly as quantum systems scale. The core of the technique lies in a control scheme where the shared ion motion is deliberately displaced along a closed path in phase space by a force dependent on the ions’ internal states. Crucially, the motion must return to its initial state to avoid unwanted entanglement between internal and motional degrees of freedom. Previous implementations of these gates often required careful calibration of gate duration and

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Quantropi shows four quantum-safe IoT solutions at North America showquantum-computing

Quantropi shows four quantum-safe IoT solutions at North America show

Quantropi will demonstrate four quantum-secure IoT solutions live at embedded world North America 2026, beginning September 22-24 at the Anaheim Convention Center’s Booth 6808. The company’s software-defined capabilities, TRNG, Secure Boot, Secure Network, and Application Security, are designed to modernize security for embedded systems without hardware redesign or platform replacement, Quantropi says. These solutions address a critical need as Executive Order 14409 sets a December 31, 2030 deadline for key establishment regarding post-quantum migration, impacting not only federal contractors but also IoT and embedded suppliers. Quantropi’s approach enables practical adoption of post-quantum cryptography for resource-constrained environments. QiSpace Platform Enables Software-Based Quantum Security for IoT Quantropi addresses this challenge with its QiSpace platform, showcasing four software-defined solutions at embedded world North America 2026, booth 6808 in Exhibit Hall B. Quantropi’s TRNG, or True Random Number Generator, extracts randomness from timing jitter already present in standard processors, ranging from Cortex-M0+-class microcontrollers to high-performance embedded systems. Tested across more than 100 million samples, the TRNG is architected for NIST SP 800-90B and engineered to meet the new FIPS 140-3 Entropy Source Validation requirements for cryptographic key generation. This capability is particularly crucial because FIPS 140-3 raises the bar for acceptable randomness in cryptographic systems. Beyond randomness, the QiSpace platform offers Secure Boot, delivering quantum-secure firmware validation that integrates with Arm TrustZone and TF-M, and extends to secure over-the-air updates. Secure Network protects edge-to-cloud communications by integrating IoT-optimized post-quantum cryptography for Mbed TLS and OpenSSL, preserving existing networking stacks. Finally, Application Security provides a crypto-agile SDK with both NIST-standardized and propri

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QuantrolOx and QURECA launch hands-on quantum training academyquantum-computing

QuantrolOx and QURECA launch hands-on quantum training academy

QuantrolOx and QURECA have partnered to launch Quantum EDGE Academy, an initiative designed to address the critical shortage of skilled engineers hindering the expansion of quantum technology. Industry data reveals only one qualified candidate exists for every three open quantum roles, while demand, as measured by the MIT Sloan Quantum Index Report 2025, nearly tripled in the US between 2011 and mid-2024. “You can install the hardware in eighteen months; you cannot conjure an experienced experimentalist in eighteen months,” says Dominic Lennon, Director of Product at QuantrolOx, explaining that the Academy aims to accelerate workforce development by teaching practical skills using the same workflows employed by their engineers. Quantum EDGE Academy Addresses Quantum Workforce Shortages This scarcity is not a future projection, but a present constraint hindering the rapid scaling of quantum computing, prompting QuantrolOx and QURECA to collaborate on Quantum EDGE Academy. The initiative aims to bridge the gap between theoretical knowledge and the practical skills needed to operate complex quantum hardware, a deficiency identified as a national priority within the UK’s £2.5 billion National Quantum Strategy. Historically, expertise in quantum hardware has been cultivated through lengthy apprenticeships within limited research groups, a slow process incompatible with the accelerating demands of industry. While online courses have broadened access to quantum concepts, they have not replicated the essential experience of hands-on laboratory work. Recognizing this, the Academy leverages QuantrolOx’s Quantum EDGE measurement and automation platform to provide a realistic, software-based training environment. This approach allows learners to develop competence in operating quantum systems without requiring access to scarce and expensive physical equipment, effectively acting as a training ground for quantum engineers, the company says. The Academy’s curriculum focuses on pr

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