Zapata Computing, Inc.

Other

Harvard College

Peter D Johnson

Yudong Cao

Pierre-Luc Dallaire-Demers

Alan Aspuru-Guzik

Jonathan P Olson

Jhonathan Romero Fontalvo

Jerome Florian Gonthier

Guoming Wang

Amara Katabarwa

Maria Kieferova

Max Radin

Enshan Dax Koh

Model-free error correction in quantum processors is provided, allowing tailoring to individual devices. In various embodiments, a quantum circuit is configured according to a plurality of configuration parameters. The quantum circuit comprises an encoding circuit and a decoding circuit. Each of a plurality of training states is input to the quantum circuit. The encoding circuit is applied to each of the plurality of training states and to a plurality of input syndrome qubits to produce encoded training states. The decoding circuit is applied to each of the encoded training states to determine a plurality of outputs. A fidelity of the quantum circuit is measured for the plurality of training states based on the plurality of outputs. The fidelity is provided to a computing node. The computing node determines a plurality of optimized configuration parameters. The optimized configuration parameters maximize the accuracy of the quantum circuit for the plurality of training states.

Device-tailored model-free error correction in quantum processors

A quantum computer includes an efficient and exact quantum circuit for performing quantum state compression.

Quantum computer with exact compression of quantum states

A hybrid quantum-classical (HQC) computer takes advantage of the available quantum coherence to maximally enhance the power of sampling on noisy quantum devices, reducing measurement number and runtime compared to VQE. The HQC computer derives inspiration from quantum metrology, phase estimation, and the more recent 'alpha-VQE' proposal, arriving at a general formulation that is robust to error and does not require ancilla qubits. The HQC computer uses the 'engineered likelihood function' (ELF) to carry out Bayesian inference. The ELF formalism enhances the quantum advantage in sampling as the physical hardware transitions from the regime of noisy intermediate-scale quantum computers into that of quantum error corrected ones. This technique speeds up a central component of many quantum algorithms, with applications including chemistry, materials, finance, and beyond.

Hybrid quantum-classical computer for Bayesian inference with engineered likelihood functions for robust amplitude estimation

A hybrid quantum classical (HQC) computer, which includes both a classical computer component and a quantum computer component, implements improvements to the quantum approximate optimization algorithm (QAOA) which enable QAOA to be applied to valuable problem instances (e.g., those including several thousand or more qubits) using near-term quantum computers.

Hybrid quantum-classical computer for packing bits into qubits for quantum optimization algorithms

A quantum computer or a hybrid quantum-classical (HQC) computer leverages the power of noisy intermediate-scale quantum (NISQ) superconducting quantum processors at and/or beyond the supremacy regime to evaluate the ground state energy of an electronic structure Hamiltonian.

Computer systems and methods for computing the ground state of a Fermi-Hubbard Hamiltonian

A compact, substantially vibration-free binocular mounting assembly for supporting large binoculars during astronomical observations. The binocular mounting assembly is adapted to be rotated about a horizontal axis during altitude adjustment, with the binocular eyepieces closely following the eye position of a seated astronomical observer as the altitude of observation is varied from horizon to zenith.

Growing community of inventors

Somerville, MA, United States of America

Peter D Johnson