Rigetti & Co, LLC

Marcus Palmer Da Silva

Nikolas Anton Tezak

Colm Andrew Ryan

Deanna Margo Abrams

Chad Tyler Rigetti

Matthew J Reagor

Eyob Alebachew Sete

Shane Arthur Caldwell

Nicolas Didier

Alexander Papageorge

Sabrina Sae Byul Hong

Johannes Sebastian Otterbach

Christopher Mogan Wilson

Prasahnt Sivarajah

Michael Justin Gerchick Scheer

Eric Christopher Peterson

Robert Stanley Smith

Gavin Earl Crooks

Nicholas Charles Rubin

Blake Robert Johnson

Jonathan Ward

A system and method for randomly accessing pairs of quantum gates associated with any given quantum gate included in a set of quantum instructions allows for the reduction of unitary errors when executing the quantum instructions. The system generates a set of modified quantum instructions using the randomly accessed pair of quantum gates. The modified quantum instructions produce the same result as the unmodified quantum instructions when executed on a quantum processing system that does not introduce error when executing the instructions. Additionally, the modified quantum instructions produce a more accurate result with less error than the unmodified quantum instructions when executed on a quantum processing system that introduces error.

Reducing unitary error in a quantum computation system

In a general aspect, a gate is formed for a quantum processor. In some implementations, an arbitrary program is received. The arbitrary program includes a first sequence of quantum logic gates, which includes a parametric XY gate. A native gate set is identified, which includes a set of quantum logic gates associated with a quantum processing unit. A second sequence of quantum logic gates corresponding to the parametric XY gate is identified, which includes a parametric quantum logic gate. Each of the quantum logic gates in the second sequence is selected from the native gate set. A native program is generated. The native program includes a third sequence of quantum logic gates. The third sequence of quantum logic gates corresponds to the first sequence of quantum logic gates and includes the second sequence of quantum logic gates. The native program is provided for execution by the quantum processing unit.

Gate formation on a quantum processor

In a general aspect, a quantum streaming kernel processes a data stream. In some aspects, an input stream of data is converted to an output stream of data by repeatedly receiving new portions of the input stream; encoding each new portion into an internal quantum state of a quantum processor; measuring a first part of the internal quantum state while maintaining coherence of a second part of the internal quantum state; and producing the output stream of data based on the measurements. In some cases, a history of the input stream is preserved by the coherence of the internal quantum state, and the measurements contain information based on the history of the input stream.

Quantum streaming kernel

In a general aspect, a quantum logic gate is performed in a quantum computing system. In some cases, a pair of qubits are defined in a quantum processor; the pair of qubits can include a first qubit defined by a first qubit device in the quantum processor and a second qubit defined by a tunable qubit device in the quantum processor. A quantum logic gate can be applied to the pair of qubits by communicating a control signal to a control line coupled to the tunable qubit device. The control signal can be configured to modulate a transition frequency of the tunable qubit device at a modulation frequency, and the modulation frequency can be determined based on a transition frequency of the first qubit device.

Parametrically activated quantum logic gates

In a general aspect, input data for a computer process are preprocessed by a preprocessor unit that includes a quantum processor. In some aspects, a preprocessor unit obtains input data for a computer process that is configured to run on a computer processing unit. Randomized parameter values are computed for variable parameters of a quantum logic circuit based on the input data. A classical processor in the preprocessor unit computes the randomized parameter values from the input data and a set of random numbers. A quantum processor in the preprocessor unit produces quantum processor output data by executing the quantum logic circuit having the randomized parameter values assigned to the variable parameters. Preprocessed data generated based on the quantum processor output data are then provided as the input for the computer process configured to run on the computer processing unit.

Using a quantum processor unit to preprocess data

Gate formation for a quantum processor

In a general aspect, a plurality of distinct quantum processor unit (QPU) instances are utilized to execute a quantum computation. Hybrid classical-quantum computing methods and systems are described which utilize the plurality of QPU instances in the execution of quantum computations.

Utilizing multiple quantum processor unit (QPU) instances

In a general aspect, values of input parameters for a quantum approximate optimization algorithm (QAOA) are selected by a Bayesian optimizer. The QAOA can be configured to solve a combinatorial optimization problem (COP), such as Maximum Cut. A hybrid classical-quantum computing system can be used to execute the QAOA and select the input parameters.

Selecting parameters for a quantum approximate optimization algorithm (QAOA)

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Marcus Palmer Da Silva