Harvard College

Zapata Computing, Inc.

Samsung Electronics Co., Ltd.

Massachusetts Institute of Technology

Alan Aspuru-Guzik

Ryan Babbush

Roy Gerald Gordon

Jorge Aguilera-Iparraguirre

Timothy D Hirzel

Rafael Gomez-Bombarelli

Michael J Aziz

Michael S Marshak

Pierre-Luc Dallaire-Demers

Jonathan P Olson

Jhonathan Romero Fontalvo

Jhonathan Romero

Peter Love

Brian Huskinson

Suleyman Er

Changwon Suh

Bryan O'Gorman

Soonok Jeon

Marc A Baldo

Sooghang Ihn

Hosuk Kang

Sunghan Kim

Yudong Cao

Masaki Numata

Hiroshi Miyazaki

Peter D Johnson

Theodore Alexander Betley

Liuchuan Tong

Hyun Sik Chae

Troy Andrew Van Voorhis

Kaixiang Lin

David McMahon

Matthias Erhard Bahlke

Libor Veis

Theodore A Betley

Seongik Hong

Martin B Z Forsythe

Tony Chang-Chi Wu

Roy G Gordon

Michael Marshak

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 hybrid quantum-classical (HQC) computer which includes both a classical computer component and a quantum computer component performs generative learning on continuous data distributions. The HQC computer is capable of being implemented using existing and near-term quantum computer components having relatively low circuit depth.

Quantum computer with improved continuous quantum generator

A system and method include techniques for: generating, by a quantum autoencoder, based on a set of quantum states encoded in a set of qubits, a decoder circuit that acts on a subset of the set of qubits, a size of the subset being less than a size of the set; and generating a reduced-cost circuit, the reduced-cost circuit comprising: (1) a new parameterized quantum circuit acting only on the subset of the set of qubits, and (2) the decoder circuit.

Compressed unsupervised quantum state preparation with quantum autoencoders

Preparation of correlated fermionic states on a quantum computer for determining a ground state of a correlated fermionic system is provided. In various embodiments, a quantum circuit is provided that comprises a linear chain of qubits and a plurality of matchgates arranged in layers. Each matchgate is configured to perform a two-qubit rotation on neighboring qubits within the linear chain. An initial state is provided for each qubit in the linear chain, The quantum circuit is applied to the initial values, thereby preparing an ansastz on the linear chain of qubits, the ansatz corresponding to a fermionic state.

Preparing correlated fermionic states on a quantum computer

Solution of a problem of determining values of a set of N problem variables xmakes use of a quantum processor that has a limited number of hardware elements for representing quantum bits and/or limitations on coupling between quantum bits. A method includes accepting a specification of the problem that includes a specification of a set of terms where each term corresponds to a product of at least three variables and is associated with a non-zero coefficient. A set of ancilla variables, each ancilla variable corresponding to a pair of problem variables, is determined by applying an optimization procedure to the specification of the set of the terms. The accepted problem specification is then transformed according to the determined ancilla variables to form a modified problem specification for use in configuring the quantum processor and solution of problem.

Quantum processor problem compilation

Generating a computing specification to be executed by a quantum processor includes: accepting a problem specification that corresponds to a second-quantized representation of a fermionic Hamiltonian, and transforming the fermionic Hamiltonian into a first qubit Hamiltonian including a first set of qubits that encode a fermionic state specified by occupancy of spin orbitals. An occupancy of any spin orbital is encoded in a number of qubits that is logarithmic in the number of spin orbitals, and a parity for a transition between any two spin orbitals is encoded in a number of qubits that is logarithmic in the number of spin orbitals. An eigenspectrum of a second qubit Hamiltonian, including the first set of qubits and a second set of qubit, includes a low-energy subspace and a high-energy subspace, and an eigenspectrum of the first qubit Hamiltonian is approximated by a set of low-energy eigenvalues of the low-energy subspace.

Embedding electronic structure in controllable quantum systems

The invention provides an electrochemical cell based on a new chemistry for a flow battery for large scale, e.g., gridscale, electrical energy storage. Electrical energy is stored chemically in quinone molecules having multiple oxidation states, e.g., three or more. During charging of the battery, the quinone molecules at one electrode are oxidized by emitting electrons and protons, and the quinone molecules at the other electrode are reduced by accepting electrons and protons. These reactions are reversed to deliver electrical energy. The invention also provides additional high and low potential quinones that are useful in rechargeable batteries.

Quinone and hydroquinone based flow battery

An organic light-emitting device including a first electrode; a second electrode; and an organic layer disposed between the first electrode and the second electrode, wherein the organic layer comprises an emission layer, and wherein the organic layer comprises a first compound represented by Formula 1 and a second compound having the lowest excited triplet energy level greater than 2.73 electron volts: 

Organic light-emitting device

Solution of a problem of determining values of a set of N problem variables x, makes use of a quantum processor that has a limited number of hardware elements for representing quantum bits and/or limitations on coupling between quantum bits. A method includes accepting a specification of the problem that includes a specification of a set of terms where each term corresponds to a product of at least three variables and is associated with a non-zero coefficient. A set of ancilla variables, each ancilla variable corresponding to a pair of problem variables, is determined by applying an optimization procedure to the specification of the set of the terms. The accepted problem specification is then transformed according to the determined ancilla variables to form a modified problem specification for use in configuring the quantum processor and solution of problem.

Described herein are molecules for use in organic light emitting diodes. Example molecules comprise at least one moiety A and at least one moiety D. Values and preferred values of the moieties A and D are described herein. The molecules comprise at least one atom selected from Si, Se, Ge, Sn, P, or As.

Organic light-emitting diode materials

The invention provides an electrochemical cell based on a new chemistry for a flow battery for large scale, e.g., gridscale, electrical energy storage. Electrical energy is stored chemically at an electrochemical electrode by the protonation of small organic molecules called quinones to hydroquinones. The proton is provided by a complementary electrochemical reaction at the other electrode. These reactions are reversed to deliver electrical energy. A flow battery based on this concept can operate as a closed system. The flow battery architecture has scaling advantages over solid electrode batteries for large scale energy storage.

Small organic molecule based flow battery

Growing community of inventors

Cambridge, MA, United States of America

Alan Aspuru-Guzik