Peter McMahon

Prof Assoc
Applied & Engineering Physics DEPT · EN

Peter McMahon serves as Associate Professor in Applied & Engineering Physics at Cornell University.

216 publications
8,768 citations
38 h-index
Computer Science
Rising Papers (3)
2025-09-03 · Nature · Artificial Intelligence
Training of physical neural networks
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
64 citations · 72.8x expected for field
2025-01-03 · Nature Communications · Artificial Intelligence
Quantum-limited stochastic optical neural networks operating at a few quanta per activation
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
21 citations · 23.7x expected for field
2025-10-08 · Nature · Electrical and Electronic Engineering
Programmable on-chip nonlinear photonics
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
18 citations · 5.2x expected for field
Recent Papers (49)
2026-08-13 · Zenodo (CERN European Organization for Nuclear Research) · Atomic and Molecular Physics, and Optics
Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-08-13 · Zenodo (CERN European Organization for Nuclear Research) · Atomic and Molecular Physics, and Optics
Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-08-12 · Zenodo (CERN European Organization for Nuclear Research) · Artificial Intelligence
Data repository of the paper "Exponential quantum advantage for learning signals with a single qubit"
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-08-12 · Zenodo (CERN European Organization for Nuclear Research) · Artificial Intelligence
Data repository of the paper "Exponential quantum advantage for learning signals with a single qubit"
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-07-22 · Physica Scripta · Artificial Intelligence
Quantum optical neural networks using atom-cavity interactions to provide all-optical nonlinearity
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-07-16 · arXiv (Cornell University) · Atomic and Molecular Physics, and Optics
High-Q superconducting microwave resonators using MBE titanium nitride
Peter McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
David MullerProfessor, Applied & Engineering Physics DEPT · EN
2026-06-14 · Electrical and Electronic Engineering
A $28 \mathrm{nm} 0.7$ pJ/Bit Optically-Programmable, Fully-Digital Sram-Based Receiver Array with on-Chip Skew Calibration for Energy-Efficient Wireless Data Transfer
Peter McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
Jae-sun SeoProf Assoc, Cornell Tech Faculty · TECH
2026-05-14 · npj Quantum Information · Artificial Intelligence
Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-05-10 · Zenodo (CERN European Organization for Nuclear Research)
Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout: data, precomputed results, and code snapshot
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-05-10 · Zenodo (CERN European Organization for Nuclear Research)
Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout: data, precomputed results, and code snapshot
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-05-06 · npj Quantum Information · Artificial Intelligence
Large-scale quantum reservoir computing using a Gaussian Boson Sampler
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-04-30 · arXiv (Cornell University) · Artificial Intelligence
Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-04-18 · arXiv (Cornell University) · Artificial Intelligence
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-04-17 · arXiv (Cornell University) · Artificial Intelligence
TRON: Trainable, architecture-reconfigurable random optical neural networks
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-04-13 · Zenodo (CERN European Organization for Nuclear Research)
Ultra-low-light computer vision using trained photon correlations
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-04-13 · Zenodo (CERN European Organization for Nuclear Research)
Ultra-low-light computer vision using trained photon correlations
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-04-11 · Zenodo (CERN European Organization for Nuclear Research) · Atomic and Molecular Physics, and Optics
Data repository of the paper "Quantum computational displacement sensing"
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-04-11 · Zenodo (CERN European Organization for Nuclear Research) · Atomic and Molecular Physics, and Optics
Data repository of the paper "Quantum computational displacement sensing"
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-03-24 · Zenodo (CERN European Organization for Nuclear Research)
Data repository of the paper "Machine vision with small numbers of detected photons per inference"
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-03-24 · Zenodo (CERN European Organization for Nuclear Research)
Data repository of the paper "Machine vision with small numbers of detected photons per inference"
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-03-04 · Instrumentation
True-to-physics modeling enables sensing with a handful of photons detected per inference in total
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-02-19 · Zenodo (CERN European Organization for Nuclear Research)
Hamiltonian-Reconstruction distance as a success metric for the Variational Quantum Eigensolver
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-14
Exponential advantage in quantum sensing of correlated parameters
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-14 · Quantum
Exponential advantage in quantum sensing of correlated parameters
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-14 · Zenodo (CERN European Organization for Nuclear Research) · Condensed Matter Physics
Probabilistic Ising Machine with Parallel Explorations
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-14 · Zenodo (CERN European Organization for Nuclear Research) · Condensed Matter Physics
Probabilistic Ising Machine with Parallel Explorations
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-01
Physics-Aware Active Optical Sensing Where Every Photon Counts
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-01
Inverse-designed Photonic Devices with Reconfigurable Control
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-01
Programmable planar waveguides with arbitrarily reconfigurable quasi-phase matching
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-01
Nanophotonic nonlinear waveguides with programmable quasi-phase matching
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2026-01-01 · Zenodo (CERN European Organization for Nuclear Research) · Management Science and Operations Research
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2025-12-08 · Nature Physics
Arbitrary control over multimode wave propagation for machine learning
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2025-10-08 · Nature · Electrical and Electronic Engineering
Programmable on-chip nonlinear photonics
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2023-11-02
Quantum Variational Solving of Nonlinear and Multi-Dimensional Partial Differential Equations
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2023-07-31
The physics of optical computing
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2023-01-17
Roadmap for Unconventional Computing with Nanotechnology
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2022-09-07
Expectation values from the single-layer quantum approximate optimization algorithm on Ising problems
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2022-07-15
Ising Machines’ Dynamics and Regularization for Near-Optimal MIMO Detection
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2022-03-11
Onset of non-Gaussian quantum physics in pulsed squeezing with mesoscopic fields
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2022-03-11
Nonlinear quantum behavior of ultrashort-pulse optical parametric oscillators
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2022-01-10
An optical neural network using less than 1 photon per multiplication
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2022-01-03
Efficient sampling of ground and low-energy Ising spin configurations with a coherent Ising machine
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2021-11-03
Attention-based quantum tomography
Paul GinspargProfessor, Information Science DEPT · BCIS
Peter L McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2021-06-02
Experimental error mitigation using linear rescaling for variational\n quantum eigensolving with up to 20 qubits
Paul GinspargProfessor, Information Science DEPT · BCIS
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2020-06-18
Engineering a Kerr-Based Deterministic Cubic Phase Gate via Gaussian Operations
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2020-05-29
A quantum annealer with fully programmable all-to-all coupling via Floquet engineering
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2020-01-01
The Capacity of Quantum Neural Networks
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2019-05-03
Experimental investigation of performance differences between coherent Ising machines and a quantum annealer
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN
2019-02-01
Destabilization of Local Minima in Analog Spin Systems by Correction of Amplitude Heterogeneity
Peter L. McMahonProf Assoc, Applied & Engineering Physics DEPT · EN