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

collaborators

21 papers

quant-ph2026

Multi-Qubit Dyadic Phase Fixing for Fault-Tolerant Quantum Compilation

Justin Kalloor, Mathias Weiden, Ed Younis +2

Fault-tolerant quantum computing requires translating application-level quantum circuits into the Clifford+ gate set, where the gate is the dominant resource cost. Phase kic…

quant-ph2026

Gradient-Based Optimization Enables Scalable Fault-Tolerant Quantum Gate Synthesis

Marc Grau Davis, Ed Younis, Mathias Weiden +2

We develop a numerical approach to optimizing a quantum circuit over a discrete gate set by using gradient descent to tune angles to a solution where many gates can be…

quant-ph2025

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…

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…

quant-ph2023★ 1 cited

Powerful Quantum Circuit Resizing with Resource Efficient Synthesis

Siyuan Niu, Akel Hashim, Costin Iancu +2

In the noisy intermediate-scale quantum era, mid-circuit measurement and reset operations facilitate novel circuit optimization strategies by reducing a circuit's qubit count in a…

quant-ph2023★ 13 cited

QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation

Alon Kukliansky, Ed Younis, Lukasz Cincio +1

We introduce a domain-specific algorithm for numerical optimization operations used by quantum circuit instantiation, synthesis, and compilation methods. QFactor uses a tensor netw…

quant-ph2023★ 1 cited

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…

quant-ph2023★ 2 cited

Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis

Ji Liu, Ed Younis, Mathias Weiden +3

We propose a novel hierarchical qubit mapping and routing algorithm. First, a circuit is decomposed into blocks that span an identical number of qubits. In the second stage permuta…

quant-ph2023★ 6 cited

Numerical circuit synthesis and compilation for multi-state preparation

Aaron Szasz, Ed Younis, Wibe de Jong

Near-term quantum computers have significant error rates and short coherence times, so compilation of circuits to be as short as possible is essential. Two types of compilation pro…

quant-ph2022★ 2 cited

Quantum Circuit Optimization and Transpilation via Parameterized Circuit Instantiation

Ed Younis, Costin Iancu

Parameterized circuit instantiation is a common technique encountered in the generation of circuits for a large class of hybrid quantum-classical algorithms. Despite being supporte…

quant-ph2022★ 2 cited

Wide Quantum Circuit Optimization with Topology Aware Synthesis

Mathias Weiden, Justin Kalloor, John Kubiatowicz +2

Unitary synthesis is an optimization technique that can achieve optimal multi-qubit gate counts while mapping quantum circuits to restrictive qubit topologies. Because synthesis al…

quant-ph2021★ 9 cited

Robust and Resource-Efficient Quantum Circuit Approximation

Tirthak Patel, Ed Younis, Costin Iancu +2

We present QEst, a procedure to systematically generate approximations for quantum circuits to reduce their CNOT gate count. Our approach employs circuit partitioning for scalabili…

quant-ph2021★ 44 cited

LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach

Ethan Smith, Marc G. Davis, Jeffrey Larson +3

While showing great promise, circuit synthesis techniques that combine numerical optimization with search over circuit structures face scalability challenges due to a large number…

quant-ph2021★ 40 cited

Constant-Depth Circuits for Dynamic Simulations of Materials on Quantum Computers

Lindsay Bassman, Roel Van Beeumen, Ed Younis +3

Dynamic simulation of materials is a promising application for near-term quantum computers. Current algorithms for Hamiltonian simulation, however, produce circuits that grow in de…

quant-ph2021★ 15 cited

Leveraging Randomized Compiling for the QITE Algorithm

Jean-Loup Ville, Alexis Morvan, Akel Hashim +13

The success of the current generation of Noisy Intermediate-Scale Quantum (NISQ) hardware shows that quantum hardware may be able to tackle complex problems even without error corr…

quant-ph2021★ 4 cited

QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis

Ed Younis, Koushik Sen, Katherine Yelick +1

We present a quantum synthesis algorithm designed to produce short circuits and to scale well in practice. The main contribution is a novel representation of circuits able to encod…

quant-ph2020★ 27 cited

QFAST: Quantum Synthesis Using a Hierarchical Continuous Circuit Space

Ed Younis, Koushik Sen, Katherine Yelick +1

We present QFAST, a quantum synthesis tool designed to produce short circuits and to scale well in practice. Our contributions are: 1) a novel representation of circuits able to en…