44 citations · 94 across the 20 of their papers we have counts for
13 papers · 1 filter
PureMagic: A Dynamic Scheduler for Lattice Surgery
Steven Hofmeyr, Mathias Weiden, Justin Kalloor +2
Fault-tolerant quantum computation on surface codes requires magic states for universal computation. Traditional distillation factories deliver magic states deterministically but c…
Application Scale Quantum Circuit Compilation with Controlled Error
Justin Kalloor, Lucas Kovalsky, Mathias Weiden +4
Compilation and optimization of quantum circuits are critical components in the execution of algorithms on quantum computers. These components must successfully balance two competi…
Making Neural Networks More Suitable for Approximate Clifford+T Circuit Synthesis
Mathias Weiden, Justin Kalloor, John Kubiatowicz +1
Machine Learning with deep neural networks has transformed computational approaches to scientific and engineering problems. Central to many of these advancements are precisely tune…
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…
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…
Improving Quantum Circuit Synthesis with Machine Learning
Mathias Weiden, Ed Younis, Justin Kalloor +2
In the Noisy Intermediate Scale Quantum (NISQ) era, finding implementations of quantum algorithms that minimize the number of expensive and error prone multi-qubit gates is vital t…