Ionq, Inc.

Duke University

University System of Maryland

Yunseong Nam

Reinhold Blumel

Nikodem Grzesiak

Jungsang Kim

Omar Shehab

Pradeep Niroula

Dmitri Maslov

Neal Pisenti

Jonathan Albert Mizrahi

Stewart O Allen

Jwo-Sy Chen

Ming Li

Andrii Maksymov

Matthew Joseph Keesan

Andrew Maps Ducore

David Moehring

Jason Madjdi Amini

Vandiver Chaplin

Kenneth Wright

Andrew Childs

Wengang Zhang

Yuan Su

Neil Julien Ross

Conor Delaney

Christopher R Monroe

Jeremy Matthew Sage

Kristin Marie Beck

Kenneth Brown

Hermann Uys

Jason Hieu Van Nguyen

Reinhold Blümel

Ken Brown

Stewart Allen

A method of determining a pattern in a sequence of bits using a quantum computing system includes setting a first register of a quantum processor in a superposition of a plurality of string index states, encoding a bit string in a second register of the quantum processor, encoding a bit pattern in a third register of the quantum processor, circularly shifting qubits of the second register conditioned on the first register, amplifying an amplitude of a state combined with the first register in which the circularly shifted qubits of the second register matches qubits of the third register, measuring an amplitude of the first register and determining a string index state of the plurality of string index states associated with the amplified state, and outputting, by use of a classical computer, a string index associated with the first register in the measured state.

Accelerated pattern matching method on a quantum computing system

A method for performing at least a portion of a computational process includes computing a pulse function of a pulse to be applied to a first pair of trapped ions in a first ion chain based on a phase-space condition, wherein the phase-space condition is derived using equi-spaced synthetic frequencies in a frequency interval that includes a range set by a highest and a lowest motional mode frequency of the first ion chain, generating the pulse based on the computed pulse function, and applying the generated pulse to each of a second pair of trapped ions in a second ion chain to perform an entangling gate operation between the second pair of trapped ions in the second ion chain.

Universal gate pulse for two-qubit gates on a trapped-ion quantum computer

The use of multiple ion chains in a single ion trap for quantum information processing (QIP) systems is described. Each chain can have its own set of laser beams with which to implement and operate quantum gates within that chain, where each chain may therefore correspond to a single quantum computing register or core. Operations can be performed in parallel across all of these chains as they can be treated independently from each other. To implement and operate quantum gates between different chains, neighboring chains are merged into a single, larger chain, in which one can perform quantum gates between any of the ions in the larger chain. The combined chains can then be separated again by another shuttling event as needed. To implement and operate quantum gates between ions which do not occupy neighboring chains, swap gates can be used via a sequence of intervening chains.

Quantum computer based on manipulation of ion chains

A method of performing a computational process includes transforming, a first register of a quantum processor to a charge encoded state in which charges of interacting particles to be simulated are encoded, transforming a second register of the quantum processor to a position encoded state in which positions of the interacting particles are encoded, performing a first phase shift operation, including shifting a phase of the first and second registers by kinetic energies of the interacting particles, performing a second phase shift operation, including shifting the phase of the first and second registers by pair-wise Coulomb potential energies of the interacting particles, measuring the phase of the first and second registers, transmitting the measured phase of the first and second registers to a classical computer, and the measured phase including a sum of the kinetic energies and the pair-wise Coulomb potential energies of the interacting particles.

Accelerated molecular dynamics simulation method on a computing system

A method of performing a computation using a quantum computer includes modulating motional mode structures of a plurality of trapped ions, each of the plurality of trapped ions having two frequency-separated states defining a qubit, computing a detuning frequency function and an amplitude function of a laser pulse to cause entangling interaction between a pair of trapped ions of the plurality of trapped ions, and performing a quantum computation in the quantum computer by applying a laser pulse having the computed detuning frequency function and the amplitude function to the pair of trapped ions for a gate duration.

Motional mode configuration for implementation of entangling gates in ion trap quantum computers

A method of performing computation using a hybrid quantum-classical computing system comprising a classical computer and a quantum processor includes computing, by use of a classical computer, short-range inter-particle interaction energies and self-energies of a group of interacting particles, transforming the quantum processor from an initial state to a charge-position encoded state, applying Quantum Fourier transformation to the quantum processor, measuring an estimated amplitude of the Fourier transformed superposition state on the quantum processor, computing long-range inter-particle interaction energies based on the measured estimated amplitude of the Fourier transformed superposition state, and computing and outputting a sum of the short-range inter-particle interaction energies, the self-energies of the system, and the long-range inter-particle interaction energies as a total inter-particle interaction energies of the system.

Accelerated molecular dynamics simulation method on a quantum-classical hybrid computing system

A method of performing a quantum gate operation in an ion trap quantum computing system includes identifying one or more error mechanisms that cause a quantum computational error in a quantum gate operation on a first trapped ion of an ion chain comprising a plurality of trapped ions, wherein the quantum gate operation is performed by applying a first Raman laser beam and a second Raman laser beam, computing a first amplitude of the first Raman laser beam, and a second amplitude of the second Raman laser beam such that the effect of the identified one or more error mechanisms is accounted for, and applying the first Raman laser beam having the computed first amplitude and the second Raman laser beam having the computed second amplitude on the first trapped ion to perform the quantum gate operation on the first trapped ion.

Improving quantum gate infidelity in trapped ion quantum computers

A method of performing a computation using a quantum computer includes converting, by a classical computer, a first quantum circuit to a second quantum circuit, wherein the first quantum circuit comprises a conventional gate set and the second quantum circuit comprises a standard trapped-ion gate set, generating a first optimized quantum circuit, which comprises the standard trapped-ion gate set, by adjusting the second quantum circuit, by use of the classical computer, converting, by the classical computer, the first optimized quantum circuit to a third quantum circuit comprising a phase-insensitive trapped-ion gate set, generating a second optimized quantum circuit comprising the phase-insensitive trapped-ion gate set, by adjusting the third quantum circuit, by use of the classical computer, and applying the first and the second optimized quantum circuit on a quantum computer to perform a computation.

Optimizing circuit compiler for trapped-ion quantum computers

A method of performing computation using an ion trap quantum computing system including a classical computer, a system controller, and a quantum processor includes computing, by the classical computer, a circuit that implements a selected set of gate operations, using one or more efficient arbitrary simultaneous entangling (EASE) gates, implementing, by the system controller, the computed circuit on the quantum processor, measuring, by the system controller, population of qubit states in the quantum processor, and outputting, by the classical computer, the measured population of qubit states in the quantum processor.

Quantum circuit construction with simultaneously entangling gates in trapped-ion quantum computers

The disclosure describes various techniques to control of small angle Mølmer-Sørensen (MS) gates and to handle asymmetric errors. A technique is described for handling asymmetric errors in quantum information processing (QIP) systems. An exemplary method includes implementing a quantum circuit in the QIP system that has first and second qubit lines, with a first qubit state having a greater measurement error than a second qubit state; swapping the roles of the first and second qubit states at a quantum circuit level in response to at least one of the first qubit line and the second qubit line being expected to be at the first qubit state at a measurement; and enabling a quantum simulation using the quantum circuit with the first and second qubit states reassigned in at least one of the first qubit line and the second qubit line after the swapping of the respective roles.

Techniques for controlling small angle Mølmer-Sørensen gates and for handling asymmetric spam errors

Embodiments described herein are generally related to a method and a system for constructing and delivering a pulse to perform an entangling gate operation between two trapped ions during a quantum computation, and more specifically, to a method of demodulating and spline interpolating a pulse that can be practically implemented in the system while increasing the fidelity of the entangling gate operation, or the probability that at least two ions are in the intended qubit state(s) after performing the entangling gate operation between the two ions.

Demodulation and smoothing of amplitude, frequency, and phase modulated pulses for optimal implementation of entangling gates in ion trap quantum computers

A method for performing an entangling operation between trapped ions in a quantum computer includes selecting an amount of infidelity that is allowed in an entangling operation between two trapped ions in a quantum computer, computing a pulse function of a pulse to be applied to each of the two trapped ions based on gate operation conditions and the selected amount of infidelity, generating the pulse based on the computed pulse function, and applying the generated pulse to each of the two trapped ions to perform the entangling operation between the two trapped ions.

Fast two-qubit gates on a trapped-ion quantum computer

A method of performing a quantum computation process includes mapping logical qubits to physical qubits of a quantum processor so that quantum circuits are executable using the physical qubits of the quantum processor and a total infidelity of the plurality of quantum circuits is minimized, wherein each of the physical qubits comprise a trapped ion, and each of the plurality of quantum circuits comprises single-qubit gates and two-qubit gates within the plurality of the logical qubits, calibrating two-qubit gates within a first plurality of pairs of physical qubits, such that infidelity of the two-qubit gates within the first plurality of pairs of physical qubit is lowered, executing the plurality of quantum circuits on the quantum processor, by applying laser pulses that each cause a single-qubit gate operation and a two-qubit gate operation in each of the plurality of quantum circuits on the plurality of physical qubits, measuring population of qubit states of the physical qubits in the quantum processor, and outputting the measured population of qubit states of the physical qubits.

Optimal calibration of gates in a quantum computing system

The disclosure describes various aspects of a software-defined quantum computer. For example, a software-defined quantum computing architecture for allocating qubits is described that includes an application programming interface (API); a quantum operating system (OS) on which the API executes, with the quantum OS including a resource manager and a switch; and a plurality of quantum cores connected by the switch of the quantum resource OS. Moreover, the resource manager of the quantum resource OS determines an allocation of a plurality of qubits in the plurality of quantum cores.

Software-defined quantum computer

The disclosure describes various aspects of a software-defined quantum computer. For example, a method is described for generating an intermediate representation of source code for a software-defined quantum computer. The method includes performing a lexical analysis on a high-level intermediate representation of a quantum programming language; performing semantic analysis on an output of the lexical analysis; and generating a mid-level intermediate representation of the quantum programming language based on an output of the semantic analysis.

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North Bethesda, MD, United States of America

Yunseong Nam