Spectacular progress reported in quantum computing at silicon valley conference

Experts at the Q2B Silicon Valley conference in December hailed significant advances in quantum computing hardware, describing the progress as spectacular despite remaining challenges. Leaders from science and industry expressed optimism about achieving industrially useful, fault-tolerant devices in the coming years. Applications for health, energy, and scientific discovery are also gaining traction.

The Q2B Silicon Valley conference, which gathers quantum computing experts from business and science, concluded on an optimistic note in December. Attendees agreed that the field is advancing rapidly toward practical quantum computers, though hurdles persist.

Joe Altepeter, programme manager for the US Defense Advanced Research Projects Agency’s Quantum Benchmarking Initiative (QBI), shared during a presentation: “On balance, we think it is more likely than not that someone, or maybe multiple someones, are going to be able to make a really industrially useful quantum computer, which is not something I’d be concluding at the end of 2025.” The QBI aims to evaluate competing approaches to build fault-tolerant quantum computers capable of error correction. After its first six months, the multi-year program involving hundreds of evaluators identified major obstacles in each method but found none disqualifying.

Scott Aaronson from the University of Texas at Austin echoed this sentiment: “In late 2025, it feels to me like all of the key hardware building blocks seem to be more or less in place, at roughly the required fidelity, maybe for the first time, leaving only these enormous questions about… the engineering challenges.” He called the hardware progress “spectacular,” while noting the need for new algorithms to unlock practical uses.

Google’s Ryan Babbush highlighted that applications trail hardware developments. At the conference, Google Quantum AI and partners revealed finalists for the XPRIZE competition, focusing on biomolecule simulations for health, material candidates for clean energy, and computations for complex disease diagnosis and treatment.

John Preskill of the California Institute of Technology remarked: “A few years ago, I wasn’t that excited about running applications on quantum computers. I am getting more interested now.” He advocated for near-term scientific discovery applications. Over the past year, quantum systems have performed computations in materials physics and high-energy particles, potentially rivaling classical methods.

Pranav Gokhale from Infleqtion demonstrated a version of Shor’s algorithm on logical qubits, a step toward breaking encryption, but emphasized it falls short of real-world capabilities. Dutch start-up QuantWare unveiled an architecture for 10,000-qubit processors using superconducting circuits, with Matt Rijlaarsdam stating initial devices could operate within two-and-a-half years. Competitors like IBM, Quantinuum, and QuEra target similar scales soon, with QuEra aiming for 10,000 ultracold-atom qubits in a year.

The sector’s growth is projected to rise from $1.07 billion in global investments in 2024 to $2.2 billion by 2027, per Hyperion Research. IBM’s Jamie Garcia noted: “More people are getting access to quantum computers than ever before, and I have a suspicion that they’ll do things with them that we could never even think of.”

Makala yanayohusiana

Dramatic trading floor scene showing Nvidia's AI profit surge amid market bubble fears and economic uncertainty.
Picha iliyoundwa na AI

AI Market Jitters Grow as Nvidia’s Profits Surge and Tech Valuations Soar

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Nvidia has reported a massive jump in quarterly profit amid a broader boom in artificial-intelligence investment, intensifying debate over whether current valuations signal transformative growth or an emerging bubble. While Nvidia’s results have underscored its central role in powering AI systems, some analysts warn that today’s exuberance may not be sustainable, reflecting wider uncertainty about the economy and political landscape.

Researchers anticipate that 2026 could mark the beginning of practical applications for quantum computers in chemistry, leveraging their inherent quantum nature to tackle complex molecular calculations. Advances in 2025 have laid the groundwork, with larger machines expected to enable more sophisticated simulations. This progress could benefit industrial and medical fields by improving predictions of molecular structures and reactivities.

Imeripotiwa na AI

A new analysis indicates that certain designs for fault-tolerant quantum computers could consume far more energy than the world's most powerful supercomputers. Presented at a recent conference, the estimates highlight a wide range of potential power needs, from modest to enormous. This variation stems from different technologies used to build and operate these machines.

Scientists are on the verge of simulating a human brain using the world's most powerful supercomputers, aiming to unlock secrets of brain function. Led by researchers at Germany's Jülich Research Centre, the project leverages the JUPITER supercomputer to model 20 billion neurons. This breakthrough could enable testing of theories on memory and drug effects that smaller models cannot achieve.

Imeripotiwa na AI

Researchers propose using quantum computers to enhance images of distant exoplanets by processing faint light signals more effectively. The method combines diamond-based devices and ultracold atom systems to extract clearer details from weak photon streams. This could reveal molecular signatures on these faraway worlds.

The Linac Coherent Light Source II at California's SLAC National Accelerator Laboratory has set new records for X-ray pulses, but its key components will soon shut down for a major upgrade. This enhancement, expected to more than double the X-ray energy, could transform research into subatomic behaviors in light-sensitive systems. The facility's recent achievements include the strongest pulse ever in 2024 and 93,000 pulses per second in 2025.

Imeripotiwa na AI

Christopher Wood, global head of equity strategy at Jefferies, has removed bitcoin from the firm's model portfolio, citing its likely peak price and threats from quantum computing. He replaced the allocation with gold investments, viewing the metal as a more secure store of value. This move comes as bitcoin enters a bear market following a strong 2025 rally.

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