The University of Chicago

Coldquanta, Inc.

Pranav Gokhale

Frederic T Chong

Dana Zachary Anderson

Mark Saffman

David C Schuster

Henry Hoffmann

Yongshan Ding

Nelson Leung

Thomas Propson

Michael A Perlin

Yunong Shi, I

Sense+compute (S+C) quantum-state carriers (QSCs), e.g., rubidium atoms, can be used provide more scalable quantum sensor systems. Multiple S+C QSCs can capture sensor data. The sensor data can then be transformed in the quantum domain according to a quantum tomographic protocol. The transformed data can be measured to provide a respective classical domain measurement. The sensing, transformation, and measurement can be repeated to provide a set of measurements (corresponding to different transformations) that can be combined according to the quantum tomography protocol to generate a model of the original quantum state. Estimation error associated with the model can be scaled down at a rate corresponding more closely to increases in the number N of QSCs than √{square root over (N)}, even in the presence of noise.

Sense-plus-compute quantum-state carriers

A computing system includes a quantum processor with qubits, a classical memory including a quantum program defining a plurality of instructions in a source language, and a classical processor configured to: (i) receive a circuit of gates representing a quantum program for a variational algorithm in which computation is interleaved with compilation; (ii) identify a plurality of blocks, each block includes a subcircuit of gates, leaving one or more remainder subcircuits of the circuit of gates outside of the plurality of blocks; (iii) pre-compile each block of the plurality of blocks with a pulse generation program to generate a plurality of pre-compiled blocks including control pulses configured to perform the associated block on the quantum processor; and (iv) iteratively execute the quantum program using the pre-compiled blocks as static during runtime and recompiling the one or more remainder subcircuits on the classical processor at each iteration of execution.

System and method of partial compilation with variational algorithms for quantum computers

A quantum computing system includes a quantum processor having a plurality of qubits, a classical memory, and a classical processor. The classical processor is configured to compile a quantum program into logical assembly instructions in an intermediate language, aggregate the logical assembly instructions together into a plurality of logical blocks of instructions, generate a logical schedule for the quantum program based on commutativity between the plurality of logical blocks, generate a tentative physical schedule based on the logical schedule, the tentative physical schedule includes a mapping of the logical assembly instructions in the logical schedule onto the plurality of qubits of the quantum processor, aggregate instructions together within the tentative physical schedule that do not reduce parallelism, thereby generating an updated physical schedule; generate optimized control pulses for the aggregated instructions, and execute the quantum program on the quantum processor with the optimized control pulses and the updated physical schedule.

System and method of optimizing instructions for quantum computers

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Chicago, IL, United States of America

Pranav Gokhale