activity
20202026
most citedLEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach

44 citations · 169 across the 21 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

quant-ph2024

AC/DC: Automated Compilation for Dynamic Circuits

Siyuan Niu, Efekan Kokcu, Anupam Mitra +6

Dynamic quantum circuits incorporate mid-circuit measurements (MCMs) and feed-forward operations are crucial for manipulating quantum information. They have been broadly used in qu…

quant-ph2024★ 1 cited

High-Precision Multi-Qubit Clifford+T Synthesis by Unitary Diagonalization

Mathias Weiden, Justin Kalloor, John Kubiatowicz +2

Resource-efficient and high-precision approximate synthesis of quantum circuits expressed in the Clifford+T gate set is vital for Fault-Tolerant quantum computing. Efficient optima…

quant-ph2024

Leveraging Quantum Machine Learning Generalization to Significantly Speed-up Quantum Compilation

Alon Kukliansky, Lukasz Cincio, Ed Younis +1

Existing numerical optimizers deployed in quantum compilers use expensive matrix-matrix operations. Inspired by recent advances in quantum machine learning (QML)…

quant-ph2024

Quantum Hardware Roofline: Evaluating the Impact of Gate Expressivity on Quantum Processor Design

Justin Kalloor, Mathias Weiden, Ed Younis +3

The design space of current quantum computers is expansive with no obvious winning solution. This leaves practitioners with a clear question: "What is the optimal system configurat…

quant-ph2024★ 2 cited

Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor

Aaron Szasz, Ed Younis, Wibe Albert de Jong

Models of interacting many-body quantum systems that may realize new exotic phases of matter, notably quantum spin liquids, are challenging to study using even state-of-the-art cla…