A machine-verified proof of a quantum-optimization conjecture
We report a machine-verified resolution of a problem open for over a decade in quantum optimization: the Farhi, Goldstone and Gutmann (FGG) conjecture that depth-p Quantum …
uri-kol
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Reduced state embedding for error correction in quantum cryptography
Encoding in a high-dimensional Hilbert space improves noise resilience in quantum information processing. This approach, however, may result in cross-mode coupling and detection …
amit-kam
Ax-Prover: A deep reasoning agentic framework for theorem proving in mathematics and quantum physics
We present Ax-Prover, a multi-agent system for automated theorem proving in Lean that can solve problems across diverse scientific domains and operate either autonomously or …
benjamin-breen
Machine intelligence on wireless edge networks
Machine intelligence on edge devices enables low-latency processing and improved privacy, but is often limited by the energy and delay of moving and converting data. Current …
sri-vadlamani
QAMNet: Fast and efficient optical QAM neural networks
The energy consumption of neural network inference has become a topic of paramount importance with the growing success and adoption of deep neural networks. Analog optical neural …
marc-gong-bacvanski