8 papers
Trading Imaginary Time for Randomness in Ground State Preparation
Alvan Arulandu, John M. Martyn, Isaac L. Chuang
Imaginary-time evolution (ITE) is a foundational method for ground state preparation on quantum computers. However, because ITE is non-unitary, existing implementations incur a sam…
Analytic Approach to Quantum Control Using Quantum Signal Processing
Aishwarya Majumdar, John M. Martyn, Yuan Liu +1
Realizing coherent quantum computation requires precise and robust manipulation of quantum systems through quantum control protocols. Most quantum control techniques rely on heuris…
COMPAS: A Distributed Multi-Party SWAP Test for Parallel Quantum Algorithms
Brayden Goldstein-Gelb, Kun Liu, John M. Martyn +4
The limited number of qubits per chip remains a critical bottleneck in quantum computing, motivating the use of distributed architectures that interconnect multiple quantum process…
FTCircuitBench: A Benchmark Suite for Fault-Tolerant Quantum Compilation and Architecture
Adrian Harkness, Shuwen Kan, Chenxu Liu +10
Realizing large-scale quantum advantage is expected to require quantum error correction (QEC), making the compilation and optimization of logical operations a critical area of rese…
Hybrid Oscillator-Qubit Quantum Processors: Instruction Set Architectures, Abstract Machine Models, and Applications
Yuan Liu, Shraddha Singh, Kevin C. Smith +11
Quantum computing with discrete variable (DV, qubit) hardware is approaching the large scales necessary for computations beyond the reach of classical computers. However, important…
Parallel Quantum Signal Processing Via Polynomial Factorization
John M. Martyn, Zane M. Rossi, Kevin Z. Cheng +2
Quantum signal processing (QSP) is a methodology for constructing polynomial transformations of a linear operator encoded in a unitary. Applied to an encoding of a state , QSP…