This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

Qiskit has emerged as the go-to development platform for quantum coders, with over 550,000 users developing quantum circuits to run on quantum machines from eight vendors. IBM Research launched Qiskit ...

The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...

HSBC used IBM's quantum computers to improve a process involved in algorithm bond trading. The collaboration demonstrated that pairing quantum computers with classical techniques can provide ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

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 ...

AMD’s flagship Instinct MI350 chips, developed on the CDNA 4 architecture, aim to deliver up to four times more AI compute along with 35 times faster inference compared to their predecessors.

IBM is planning another round of staff reductions as it deepens its shift toward artificial intelligence and high-margin software services. The company said the cuts will ...

Advancement to second stage of DARPA Quantum Benchmarking Initiative validates promise of Silicon Quantum Computing's in-house manufacturing for building quantum computers using engineered atoms in ...