activity
20112026
collaborators

8 papers

quant-ph2026

Quantum Cryptography and Autoformalization in Lean

Maor Ben Shahar, Jonathan Morag, Dirk Englund +1

Quantum key distribution provides secure communication by relying on physics principles and mathematical reasoning. Security proofs across the field can contain gaps, often between…

quant-ph2026

AxQM: A Textbook-Scale Benchmark for Formal Proof Synthesis in a Library of Finite-Dimensional Quantum Mechanics

Weichen Winston Yin, Jacob M. Taylor, Dirk R. Englund +1

Formalizing mathematics in a proof assistant, where a machine checks every definition, statement and proof, has set a new standard of rigor. Large language models are now capable o…

cs.CV2026

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation

Aadarsh Agarwal, Kenaish Al Qubaisi, Dirk Englund

We present PixCell, a neurosymbolic system in which multimodal agents convert a visually presented photonic component into a parametric program over a small domain-specific languag…

eess.SY2026

Agentic AI for Scalable and Robust Optical Systems Control

Zehao Wang, Mingzhe Han, Wei Cheng +12

We present AgentOptics, an agentic AI framework for high-fidelity, autonomous optical system control built on the Model Context Protocol (MCP). AgentOptics interprets natural langu…

cs.AI2025

Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics

Benjamin Breen, Marco Del Tredici, Jacob McCarran +6

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 collab…

physics.app-ph2025

LightCode: Compiling LLM Inference for Photonic-Electronic Systems

Ryan Tomich, Zhizhen Zhong, Dirk Englund

The growing demand for low-latency, energy-efficient inference in large language models (LLMs) has catalyzed interest in heterogeneous architectures. While GPUs remain dominant, th…

quant-ph2025

Hardware Co-Designed Optimal Control for Programmable Atomic Quantum Processors via Reinforcement Learning

Qian Ding, Dirk Englund

Developing scalable, fault-tolerant atomic quantum processors requires precise control over large arrays of optical beams. This remains a major challenge due to inherent imperfecti…

physics.atom-ph2011

Time-keeping with electron spin states in diamond

Jonathan S. Hodges, Dirk Englund

Frequency standards based on atomic states, such as Rb or Cs vapors, or single trapped ions, are the most precise measures of time. Here we introduce a complementary device based o…