9 papers · 1 filter
Resolving Structure in Prethermal Floquet Dynamics with Precision Quantum Computation
Eyal Leviatan, Tasneem Watad, Roy Perry +38
Periodically driven interacting quantum many-body systems can exhibit long-lived prethermal dynamics, where local observables retain coherent structure even as entanglement and ope…
A Scalable Approach to Solve the Carleman Linearized Burgers' Equation on a Quantum Computer
Reuben Demirdjian, Yvan Quinn, Vincent P. Su +2
Efficiently solving nonlinear ordinary and partial differential equations using a quantum computer is a major challenge due its inherent linearity. To circumvent this challenge, th…
Convergence of sample-based quantum diagonalization on a variable-length cuprate chain
L. Andrew Wray, Cheng-Ju Lin, Vincent Su +1
Sample-based quantum diagonalization (SQD) is an algorithm for hybrid quantum-classical molecular simulation that has been of broad interest for application with noisy intermediate…
Heuristic Quantum Advantage with Peaked Circuits
Hrant Gharibyan, Mohammed Zuhair Mullath, Nicholas E. Sherman +3
We design and demonstrate heuristic quantum advantage with peaked circuits (HQAP circuits) on Quantinuum's System Model H2 quantum processor. Through extensive experimentation with…
Utility-Scale Quantum State Preparation: Classical Training using Pauli Path Simulation
Cheng-Ju Lin, Hrant Gharibyan, Vincent P. Su
We use Pauli Path simulation to variationally obtain parametrized circuits for preparing ground states of various quantum many-body Hamiltonians. These include the quantum Ising mo…
A Practical Guide to using Pauli Path Simulators for Utility-Scale Quantum Experiments
Hrant Gharibyan, Siddharth Hariprakash, Mohammed Zuhair Mullath +1
In this this paper we present an inexpensive protocol to perform runtime and memory estimation for large-scale experiments with Pauli Path simulators (PPS). Additionally, we propos…
Quantum Image Classification: Experiments on Utility-Scale Quantum Computers
Hrant Gharibyan, Hovnatan Karapetyan, Tigran Sedrakyan +4
We perform image classification on the Honda Scenes Dataset on Quantinuum's H-2 and IBM's Heron chips utilizing up to 72 qubits and thousands of two-qubit gates. For data loading,…
Quantum Image Loading: Hierarchical Learning and Block-Amplitude Encoding
Hrant Gharibyan, Hovnatan Karapetyan, Tigran Sedrakyan +4
Given the excitement for the potential of quantum computing for machine learning methods, a natural subproblem is how to load classical data into a quantum state. Leveraging insigh…
Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits
Hrant Gharibyan, Vincent Su, Hayk Tepanyan
We present hierarchical learning, a novel variational architecture for efficient training of large-scale variational quantum circuits. We test and benchmark our technique for distr…