QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

New tools that simplify quantum complexity are reshaping physics research, drawing fresh investment, and fueling urgency ...

A device made from superconducting qubits could prove a powerful technology for enabling practical quantum computing or more ...

D-Wave Quantum's stock has shown a rollercoaster of trading activity over the past 24 hours. Initially, the stock exhibited a bullish trend, with a peak increase of 6.14%. This surge was largely ...

D-Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), a leader in quantum computing systems, software, and services, ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

Researchers at Cleveland State University have recently achieved a significant breakthrough in the field of quantum sensing by utilizing machine learning techniques to optimize circuits, successfully ...

The symbiotic relationship between machine learning and chemistry holds the promise of unlocking insights and accelerating ...

Quantum Motion has delivered what the company said is the industry’s first full-stack quantum computer to be built using a - ...

London-based Quantum Motion, a quantum computing startup that develops scalable quantum computing tech using silicon, ...

Australia remains shackled by a “cultural cringe” that prevents it from acknowledging its world-beating tech success, ...