9 citations · 16 across the 10 of their papers we have counts for
12 papers
How Good Are Frontier Models at Physics? Expert Re-Grading Reveals Broken Evaluations and Near-Saturation of Leading Benchmarks
Ali Ansari, Haoran Sun, Andy Zeyi Liu +48
Low reported scores on leading physics benchmarks, including those featured in the Artificial Analysis Intelligence Index (2026), suggest that frontier language models still strugg…
Fidelity-Aware Frequency Allocation and Transpilation Co-Design for Tunable Coupler Quantum Systems
Dylan VanAllen, Evan McKinney, Israa G. Yusuf +5
Frequency crowding is a fundamental limitation in superconducting quantum architectures, particularly in tunable-coupler systems. We present a framework that explicitly models both…
Efficient Routing of Quantum LDPC Codes on Programmable 2D Toric Architectures
Kun Liu, Takahiro Tsunoda, Sophia H. Xue +5
Quantum low-density parity-check codes are promising candidates towards scalable fault-tolerant quantum computation. Among these, bivariate bicycle (BB) codes offer superior encodi…
Symbolic Hamiltonian Compiler for Hybrid Qubit-Boson Processors
Ethan Decker, Erik Gustafson, Evan McKinney +7
Quantum simulation of the interactions of fermions and bosons -- the fundamental particles of nature -- is essential for modeling complex quantum systems in material science, chemi…
Autoregressive pairwise Graphical Models efficiently find ground state representations of stoquastic Hamiltonians
Yuchen Pang, Abhijith Jayakumar, Evan McKinney +3
We introduce Autoregressive Graphical Models (AGMs) as an Ansatz for modeling the ground states of stoquastic Hamiltonians. Exact learning of these models for smaller systems show…
GULPS: Two-Qubit Gate Synthesis via Linear Programming for Heterogeneous Instruction Sets
Evan McKinney, Lev S. Bishop
Modern quantum hardware exposes heterogeneous two-qubit instruction sets through fractional, continuously parameterized, and per-pair native gates, but synthesis remains largely fr…
Kernpiler: Compiler Optimization for Quantum Hamiltonian Simulation with Partial Trotterization
Ethan Decker, Lucas Goetz, Evan McKinney +9
Quantum computing promises transformative impacts in simulating Hamiltonian dynamics, essential for studying physical systems inaccessible by classical computing. However, existing…
Spectator-Aware Frequency Allocation in Tunable-Coupler Quantum Architectures
Evan McKinney, Israa G. Yusuf, Girgis Falstin +3
This paper addresses frequency crowding in SNAIL-based superconducting quantum modules. First, we present design constraints by describing a physical model for realizable gates wit…
Towards Error Correction for Computing in Racetrack Memory
Preston Brazzle, Benjamin F. Morris, Evan McKinney +4
Computing-in-memory (CIM) promises to alleviate the Von Neumann bottleneck and accelerate data-intensive applications. Depending on the underlying technology and configuration, CIM…
MIRAGE: Quantum Circuit Decomposition and Routing Collaborative Design using Mirror Gates
Evan McKinney, Michael Hatridge, Alex K. Jones
Building efficient large-scale quantum computers is a significant challenge due to limited qubit connectivities and noisy hardware operations. Transpilation is critical to ensure t…
Parallel Driving for Fast Quantum Computing Under Speed Limits
Evan McKinney, Chao Zhou, Mingkang Xia +2
Increasing quantum circuit fidelity requires an efficient instruction set to avoid errors from decoherence. The choice of a two-qubit (2Q) hardware basis gate depends on a quantum…
Co-Designed Architectures for Modular Superconducting Quantum Computers
Evan McKinney, Mingkang Xia, Chao Zhou +3
Noisy, Intermediate Scale Quantum (NISQ) computers have reached the point where they can show the potential for quantum advantage over classical computing. Unfortunately, NISQ mach…