D-wave Systems Inc.

1372934 B.c. Ltd

Mohammad H Amin

Andrew Joseph Berkley

Richard G Harris

Paul I Bunyk

Trevor Michael Lanting

Kelly T R Boothby

Andrew Douglas King

Evgeny A Andriyash

Jan Johansson

Mark W Johnson

Sheir Yarkoni

Anatoly Smirnov

James King

Murray C Thom

Emile M Hoskinson

Jacob Daniel Biamonte

Vicky Choi

Jeremy P Hilton

Christopher B Rich

Colin C Enderud

William W Bernoudy

Chunqing Deng

Alexandre Fréchette

A quantum annealing schedule for a computational problem can be adjusted by methods and systems involving one or more processors. The one or more processors proceed by receiving a representation of the computation problem, the representation including a plurality of problem values. These problem values are transformed based on a plurality of trained parameters of a machine learning model to generate at least a portion of an annealing schedule including at least one annealing parameter. Instructions are transmitted to the quantum processor to cause the quantum processor to evolve from an initial state to a final state based on the computational problem and the at least a portion of an annealing schedule, the final state producing a result for the computational problem.

Systems and methods for optimizing annealing parameters

The systems, devices, articles, and methods described herein generally relate to analog computers, for example quantum processors comprising qubits, couplers, and, or cavities. Analog computers, for example quantum processor based computers, are the subject of various sources of error which can hinder operation, potentially reducing computational accuracy and speed. Sources of error can be broadly characterized, for example as i) a background susceptibility do to inherently characteristics of the circuitry design, ii) as an h/J ratio imbalance, iii) bit flip errors, iv) fidelity, and v) Anderson localization, and various combinations of the aforesaid.

Error reduction and, or, correction in analog computing including quantum processor-based computing

A logical qubit, a quantum processor, and a method of performing an operation on the logical qubit are discussed. The logical qubit includes first and second tunable couplers and a plurality of fixed couplers, with at least one fixed coupler providing four physical qubit interaction. The first and second tunable couplers and the fixed couplers enforce even parity in any connected qubits. The logical qubit has a plurality of physical qubits with qubits connected to the first tunable coupler and a first fixed coupler, qubits connected to the second tunable coupler and a second fixed coupler, and qubits connected between the first fixed coupler and the second fixed coupler. Each fixed coupler is connected to at least two physical qubits and at least two paths connect the first tunable coupler and the second tunable coupler, with one path communicating with a microwave line.

Topologically protected qubits, processors with topologically protected qubits, and methods for use of topologically protected qubits

Achieving orthogonal control of non-orthogonal qubit parameters of a logical qubit allows for increasing the length of a qubit chain thereby increasing the effective connectivity of the qubit chain. A hybrid qubit is formed by communicatively coupling a dedicated second qubit to a first qubit. By tuning a programmable parameter of the second qubit of a hybrid qubit, an effective programmable parameter of the hybrid qubit is adjusted without affecting another effective programmable parameter of the hybrid qubit thereby achieving orthogonal control of otherwise non-orthogonal qubit parameters. The length of the logical qubit may thus be increased by communicatively coupling a plurality of such hybrid qubits together.

System and methods for achieving orthogonal control of non-orthogonal qubit parameters

A technique for improving the performance of non-stoquastic quantum processors is provided. Clusters of qubits with correlated behavior are identified in a problem for processing by the quantum processor. Couplings between qubits in a common cluster are modified according to a transformation (for example, a gauge transformation) so that they evolve slower and thus their dynamics freeze out later (for example, by flipping anti-ferromagnetic couplings to ferromagnetic couplings). Couplings between qubits that do not belong to the common cluster may be flipped the other way (for example, from ferromagnetic couplings to anti-ferromagnetic couplings) to accelerate their dynamics. The quantum processor is evolved and the results are modified according to an inverse transformation.

Systems and methods for improving the performance of non-stoquastic quantum devices

Apparatus and methods enable active compensation for unwanted discrepancies in the superconducting elements of a quantum processor. A qubit may include a primary compound Josephson junction (CJJ) structure, which may include at least a first secondary CJJ structure to enable compensation for Josephson junction asymmetry in the primary CJJ structure. A qubit may include a series LC-circuit coupled in parallel with a first CJJ structure to provide a tunable capacitance. A qubit control system may include means for tuning inductance of a qubit loop, for instance a tunable coupler inductively coupled to the qubit loop and controlled by a programming interface, or a CJJ structure coupled in series with the qubit loop and controlled by a programming interface.

Systems, methods and apparatus for active compensation of quantum processor elements

A computational method via a hybrid processor comprising an analog processor and a digital processor includes determining a first classical spin configuration via the digital processor, determining preparatory biases toward the first classical spin configuration, programming an Ising problem and the preparatory biases in the analog processor via the digital processor, evolving the analog processor in a first direction, latching the state of the analog processor for a first dwell time, programming the analog processor to remove the preparatory biases via the digital processor, determining a tunneling energy via the digital processor, determining a second dwell time via the digital processor, evolving the analog processor in a second direction until the analog processor reaches the tunneling energy, and evolving the analog processor in the first direction until the analog processor reaches a second classical spin configuration.

Systems and methods for performing quantum evolution in quantum computation

Degeneracy in analog processor (e.g., quantum processor) operation is mitigated via use of floppy qubits or domains of floppy qubits (i.e., qubit(s) for which the state can be flipped with no change in energy), which can significantly boost hardware performance on certain problems, as well as improve hardware performance for more general problem sets. Samples are drawn from an analog processor, and devices comprising the analog processor evaluated for floppiness. A normalized floppiness metric is calculated, and an offset added to advance the device in annealing. Degeneracy in a hybrid computing system that comprises a quantum processor is mitigated by determining a magnetic susceptibility of a qubit, and tuning a tunneling rate for the qubit based on a tunneling rate offset determined based on the magnetic susceptibility. Quantum annealing evolution is controlled by causing the evolution to pause for a determined pause duration.

Systems and methods for degeneracy mitigation in a quantum processor

A hybrid computing system for solving a computational problem includes a digital processor, a quantum processor having qubits and coupling devices that together define a working graph of the quantum processor, and at least one nontransitory processor-readable medium communicatively coupleable to the digital processor which stores at least one of processor-executable instructions or data. The digital processor receives a computational problem, and programs the quantum processor with a first set of bias fields and a first set of coupling strengths. The quantum processor generates samples as potential solutions to an approximation of the problem. The digital processor updates the approximation by determining a second set of bias fields based at least in part on the first set of bias fields and a first set of mean fields that are based at least in part on the first set of samples and coupling strengths of one or more virtual coupling devices.

Systems and methods for hybrid analog and digital processing of a computational problem using mean fields

Josephson junctions (JJ) may replace primary inductance of transformers to realize galvanic coupling between qubits, advantageously reducing size. A long-range symmetric coupler may include a compound JJ (CJJ) positioned at least approximately at a half-way point along the coupler to advantageously provide a higher energy of a first excited state than that of an asymmetric long-range coupler. Quantum processors may include qubits and couplers with a non-stoquastic Hamiltonian to enhance multi-qubit tunneling during annealing. Qubits may include additional shunt capacitances, e.g., to increase overall quality of a total capacitance and improve quantum coherence. A sign and/or magnitude of an effective tunneling amplitude &#x394;of a qubit characterized by a double-well potential energy may advantageously be tuned. Sign-tunable electrostatic coupling of qubits may be implemented, e.g., via resonators, and LC-circuits. YY couplings may be incorporated into a quantum anneaier (e.g., quantum processor).

Systems and methods for coupling qubits in a quantum processor

A quantum processor is operable as a universal adiabatic quantum computing system. The quantum processor includes physical qubits, with at least a first and second communicative coupling available between pairs of qubits via an in-situ tunable superconducting capacitive coupler and an in-situ tunable superconducting inductive coupler, respectively. Tunable couplers provide diagonal and off-diagonal coupling. Compound Josephson junctions (CJJs) of the tunable couplers are responsive to a flux bias to tune a sign and magnitude of a sum of a capacitance of a fixed capacitor and a tunable capacitance which is mediated across a pair of coupling capacitors. The qubits may be hybrid qubits, operable in a flux regime or a charge regime. Qubits may include a pair of CJJs that interrupt a loop of material and which are separated by an island of superconducting material which is voltage biased with respect to a qubit body.

Universal adiabatic quantum computing with superconducting qubits

The systems, devices, articles, and methods generally relate to sampling from an available probability distribution. The samples maybe used to create a desirable probability distribution, for instance for use in computing values used in computational techniques including: Importance Sampling and Markov chain Monte Carlo systems. An analog processor may operate as a sample generator, for example by: programming the analog processor with a configuration of the number of programmable parameters for the analog processor, which corresponds to a probability distribution over qubits of the analog processor, evolving the analog processor with a fast ramp operation, and reading out states for the qubits. The state for the qubits may be post processes and/or used to calculate importance weights.

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Mohammad H Amin