G06N10/00

Stabilizer measurement decoding using additional edges to identify errors caused by cross-talk

Extra edges are added to a group of edges for use in decoding syndrome measurements of a surface code implemented using hybrid acoustic-electric qubits. The extra edges include two-dimensional cross-edges and three-dimensional space-time correlated edges that identify correlated errors arising from spurious photon dissipation processes of a multiplexed control circuit that leads to cross-talk between storage modes of a set of the mechanical resonators controlled by the given multiplexed control circuit. Additionally, error probabilities used for edge weighting incorporate error probabilities due to the spurious photon dissipation processes.

Stabilizer measurement decoding using additional edges to identify errors caused by cross-talk

Extra edges are added to a group of edges for use in decoding syndrome measurements of a surface code implemented using hybrid acoustic-electric qubits. The extra edges include two-dimensional cross-edges and three-dimensional space-time correlated edges that identify correlated errors arising from spurious photon dissipation processes of a multiplexed control circuit that leads to cross-talk between storage modes of a set of the mechanical resonators controlled by the given multiplexed control circuit. Additionally, error probabilities used for edge weighting incorporate error probabilities due to the spurious photon dissipation processes.

Scalable neutral atom based quantum computing

The present disclosure provides methods and systems for performing non-classical computations. The methods and systems generally use a plurality of spatially distinct optical trapping sites to trap a plurality of atoms, one or more electromagnetic delivery units to apply electromagnetic energy to one or more atoms of the plurality to induce the atoms to adopt one or more superposition states of a first atomic state and a second atomic state, one or more entanglement units to quantum mechanically entangle at least a subset of the one or more atoms in the one or more superposition states with at least another atom of the plurality, and one or more readout optical units to perform measurements of the superposition states to obtain the non-classical computation.

Scalable neutral atom based quantum computing

The present disclosure provides methods and systems for performing non-classical computations. The methods and systems generally use a plurality of spatially distinct optical trapping sites to trap a plurality of atoms, one or more electromagnetic delivery units to apply electromagnetic energy to one or more atoms of the plurality to induce the atoms to adopt one or more superposition states of a first atomic state and a second atomic state, one or more entanglement units to quantum mechanically entangle at least a subset of the one or more atoms in the one or more superposition states with at least another atom of the plurality, and one or more readout optical units to perform measurements of the superposition states to obtain the non-classical computation.

Automatic accuracy management for quantum programs via symbolic resource estimation

Embodiments of the disclosed technology concern transforming a high-level quantum-computer program to one or more symbolic expressions. Because the transformations lead to symbolic expressions in the compiled code, one can extract these to arrive at symbolic resource estimates for the quantum program. In cases where these transformations do not yield closed-form solutions, they can still be evaluated many orders of magnitude faster than it was possible using other resource estimation tools. Having access to such symbolic or near-symbolic expressions not only greatly improves the performance of accuracy management and resource estimation, but also better informs quantum software developers of the bottlenecks that may be present in the quantum program. In turn, the underlying quantum-computer program can be improved as appropriate.

Automatic accuracy management for quantum programs via symbolic resource estimation

Embodiments of the disclosed technology concern transforming a high-level quantum-computer program to one or more symbolic expressions. Because the transformations lead to symbolic expressions in the compiled code, one can extract these to arrive at symbolic resource estimates for the quantum program. In cases where these transformations do not yield closed-form solutions, they can still be evaluated many orders of magnitude faster than it was possible using other resource estimation tools. Having access to such symbolic or near-symbolic expressions not only greatly improves the performance of accuracy management and resource estimation, but also better informs quantum software developers of the bottlenecks that may be present in the quantum program. In turn, the underlying quantum-computer program can be improved as appropriate.

Systems and methods for quantum file permissions
11580247 · 2023-02-14 · ·

Providing quantum file permissions is disclosed herein. In one example, a quantum computing device includes a permissions database that stores permissions information for a plurality of quantum files. A quantum file permissions service, executing on a processor device of the quantum computing device, receives from a requestor a permissions query for a permissions status (i.e., a read permission indicator, a write permission indicator, and/or an execute permission indicator, as non-limiting examples) of a quantum file including a plurality of qubits. In response, the quantum file permissions service accesses permissions information for the quantum file from the permissions database. The quantum file permissions service uses the permissions information from the permissions database to determine a permissions status of the quantum file. The quantum file permissions service then sends a response to the requestor indicating the permissions status of the quantum file.

Systems and methods for quantum file permissions
11580247 · 2023-02-14 · ·

Providing quantum file permissions is disclosed herein. In one example, a quantum computing device includes a permissions database that stores permissions information for a plurality of quantum files. A quantum file permissions service, executing on a processor device of the quantum computing device, receives from a requestor a permissions query for a permissions status (i.e., a read permission indicator, a write permission indicator, and/or an execute permission indicator, as non-limiting examples) of a quantum file including a plurality of qubits. In response, the quantum file permissions service accesses permissions information for the quantum file from the permissions database. The quantum file permissions service uses the permissions information from the permissions database to determine a permissions status of the quantum file. The quantum file permissions service then sends a response to the requestor indicating the permissions status of the quantum file.

QUANTUM GENERATIVE MODELS FOR SAMPLING MANY-BODY SPECTRAL FUNCTIONS
20230040289 · 2023-02-09 ·

Quantum generative models for sampling many-body spectral functions are provided. Quantum approximate Bayesian computation is provided for NMR model inference.

SYSTEMS AND METHODS OF HYBRID ALGORITHMS FOR SOLVING DISCRETE QUADRATIC MODELS

Methods for solving discrete quadratic models are described. The methods compute an energy of each state of each variable based on its interaction with other variables, exponential weights, and normalized probabilities proportional to the exponential weights. The energy of each variable is computed as a function of the magnitude of each variable and a current state of all other variables, exponential weights, the feasible region for each variable, and normalized probabilities, proportional to the exponential weights and respecting constraints. Methods executed via a hybrid computing system obtain two candidate values for each variable; constructs a Hamiltonian that uses a binary value to determine which candidate values each variable should take, then constructs a binary quadratic model based on the Hamiltonian. Samples from the binary quadratic model are obtained via a quantum processor. The methods can be applied to solve resource scheduling optimization problems and/or for side-chain optimization for proteins.