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

The Google Quantum AI team, in collaboration with researchers from Caltech and Purdue University, recently published an important paper introducing a series of generative quantum models. This research ...

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

Quantum Motion has delivered the industry’s first full-stack quantum computer to be built using a standard silicon CMOS chip ...

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 ...

The Andhra Pradesh Government will install IBM Quantum system two by January 2026 and three more quantum computers by January 2027, Katamaneni Bhaskar, Secretary of Information Technology, Electronics ...

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 ...

Alongside the UK government funded NQCC testbed initiative, Quantum Motion was recently awarded the SiQEC silicon quantum ...

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 - ...

Quantum Computing secures traction with an EmuCore sale to a global automaker and a $332M U.S. bank order for quantum cybersecurity.