D-wave Systems Inc.

1372934 B.c. Ltd

Trevor Michael Lanting

Andrew Douglas King

Mohammad H Amin

Paul I Bunyk

Kelly T R Boothby

Mohammad H S Amin

Anatoly Smirnov

Andrew Joseph Berkley

Richard G Harris

Sheir Yarkoni

Colin C Enderud

Steven Paul Reinhardt

Mark W Johnson

Emile M Hoskinson

Warren T E Wilkinson

Murray C Thom

Evgeny A Andriyash

James King

Sergey V Uchaykin

Eric G Ladizinsky

Byong Hyop Oh

Loren J Swenson

Christopher B Rich

J Jason Yao

Andrew Brock Wilson

Jeremy P Hilton

Aidan Patrick Roy

Robert B Israel

Douglas P Stadtler

Ilya V Perminov

Shuiyuan Huang

Fabio Altomare

Abraham J Evert

Chunqing Deng

Alexandre Fréchette

Danica W Marsden

James A King

Elena Tolkacheva

Eric Ladizinsky

Jason Yao

Andrew J Berkley

Mark Johnson

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

Computational systems and methods employ characteristics of a quantum processor determined or sampled between a start and an end of an annealing evolution per an annealing schedule. The annealing evolution can be reinitialized, reversed or continued after determination. The annealing evolution can be interrupted. The annealing evolution can be ramped immediately prior to or as part of determining the characteristics. The annealing evolution can be paused or not paused immediately prior to ramping. A second representation of a problem can be generated based at least in part on the determined characteristics from an annealing evolution performed on a first representation of the problem. The determined characteristics can be autonomously compared to an expected behavior, and alerts optionally provided and/or the annealing evolution optionally terminated based on the comparison. Iterations of annealing evolutions may be performed until an exit condition occurs.

Quantum annealing debugging systems and methods

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

Generate an automorphism of the problem graph, determine an embedding of the automorphism to the hardware graph and modify the embedding of the problem graph into the hardware graph to correspond to the embedding of the automorphism to the hardware graph. Determine an upper-bound on the required chain strength. Calibrate and record properties of the component of a quantum processor with a digital processor, query the digital processor for a range of properties. Generate a bit mask and change the sign of the bias of individual qubits according to the bit mask before submitting a problem to a quantum processor, apply the same bit mask to the bit result. Generate a second set of parameters of a quantum processor from a first set of parameters via a genetic algorithm.

Systems and methods for embedding problems into an analog processor

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

Systems and methods for fabricating a superconducting integrated circuit that includes wiring layers comprising low-noise material are described. A superconducting integrated circuit can be implemented in a computing system that includes a quantum processor. Such a superconducting integrated circuit includes a first set of one or more wiring layers that form a noise-susceptible superconducting device that can decrease processor when exposed to noise. The superconducting integrated circuit can further include a second set of one or more wiring layers that form a superconducting device that is less susceptible to noise. Fabricating a superconducting device that contains low-noise material can include depositing and patterning a wiring layer comprising a first material that is superconductive in a respective range of temperatures and depositing and patterning a different wiring layer comprising a second material that is superconductive in a respective range of temperatures. The second material can be considered a low-noise material.

Quantum processors

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

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

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

Systems, devices, articles, methods, and techniques for advancing quantum computing by removing unwanted interactions in one or more quantum processor. One approach includes creating an updated plurality of programmable parameters based at least in part on a received value for the characteristic magnetic susceptibility of the qubit in the at least one quantum processor, and returning the updated plurality of programmable parameters. Examples programmable parameters include local biases, and coupling values characterizing the problem Hamilton. Also, for example, a quantum processor may be summarized as including a first loop of superconducting material, a first compound Josephson junction interrupting the first loop of superconducting material, a first coupler inductively coupled to the first loop of superconducting material, a second coupler inductively coupled to the first loop of superconducting material, and a second loop of superconducting material proximally placed to the first loop of superconducting material inductively coupled to the first coupler and the second coupler.

Systems and methods for removing unwanted interactions in quantum devices

Passive and actives approaches to mitigating the effects of spin-bath polarization are described and illustrated. Such may, for example, include at least partially depolarizing the spin-bath polarization, for instance by: performing an annealing cycle by the quantum processor to generate a final state of a qubit of the quantum processor; flipping the final state of the qubit of the quantum processor to an opposite state; and latching the qubit in the opposite state for a predetermined duration.

Superconducting quantum processor and method of operating same

A hybrid processor includes a classical (digital) processor and a quantum processor and implements a calibration procedure to calibrate devices in the quantum processor. Parameter measurements are defined as vertices in a directed acyclic graph. Dependencies between measurements are defined as directed edges between vertices. The calibration procedure orders the vertices, respecting the order of the dependencies while at least attempting to reduce the time needed to perform all the measurements. The calibration procedure provides a level of abstraction to allow non-expert users to use the calibration procedure. Each vertex has a set of attributes defining the status of the measurement, time of the measurement and value of the measurement.

Systems and methods for calibrating devices using directed acyclic graphs

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Trevor Michael Lanting