D-wave Systems Inc.

Vicky Choi

Andrew Joseph Berkley

Mohammad H Amin

Geordie Rose

Paul I Bunyk

William G Macready

Michael Coury

Various adaptations to adiabatic quantum computation and quantum annealing are described. These adaptations generally involve tailoring an initial Hamiltonian so that a local minimum is avoided when a quantum processor is evolved from the initial Hamiltonian to a problem Hamiltonian. The initial Hamiltonian may represent a mixed Hamiltonian that includes both diagonal and off-diagonal terms, where the diagonal terms at least partially define a center point of a first computation space that is at least partially contained within a second computation space. A problem Hamiltonian may be evolved into a low energy state by inhomogeneously inducing disorder in the qubits of the quantum processor. A higher degree of disorder may be induced in a subset of qubits predicted to contribute to a local minimum of the problem Hamiltonian.

Method and apparatus for evolving a quantum system using a mixed initial Hamiltonian comprising both diagonal and off-diagonal terms

Method and apparatus for evolving a quantum system using a mixed initial hamiltonian comprising both diagonal and off-diagonal terms

An analog processor, for example a quantum processor may include a plurality of elongated qubits that are disposed with respect to one another such that each qubit may selectively be directly coupled to each of the other qubits via a single coupling device. Such may provide a fully interconnected topology.

Systems, devices, and methods for interconnected processor topology

A system employs a plurality of physical qubits, each having a respective bias operable to up to six differentiable inputs to solve a Quadratic Unconstrained Binary Optimization problem. Some physical qubit couplers are operated as intra-logical qubit couplers to ferromagnetically couple respective pairs of the physical qubits as a logical qubit, where each logical qubit represents a variable from the Quadratic Unconstrained Binary Optimization problem. The logical qubits may include two or more physical qubits.

Systems, devices, and methods for analog processing

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Vancouver, Canada

Vicky Choi