Resumen de: WO2026131559A1
The invention is related to a method for mitigating errors caused by noise in a target quantum circuit executed by a quantum processor to a computer program product and to a computing system for carrying out the method and to a data carrier having stored thereon the computer program.
Resumen de: WO2026130751A1
The present disclosure relates to methods for measurement-free fault-tolerant quantum computing. One method comprises preparing, based on a quantum error correction code, a set of three or more logical qubits in an initial state, wherein each logical qubit comprises a plurality of physical qubits. The method also comprises performing a fault-tolerant logical entangling gate on the three or more logical qubits. The present disclosure further relates to a quantum computing device and a computer program.
Resumen de: US20260178952A1
An adaptive control apparatus includes a quantum circuit information processing unit, a quantum computing quality evaluation unit, and an adaptive control unit. The quantum circuit information processing unit transmits quantum circuit information into a quantum computing unit, so that the quantum computing unit performs a computation according to the quantum circuit information. The quantum computing quality evaluation unit receives measurement information of one or more qubits of the quantum computing unit and performs error rate calculation according to the measurement information to generate an error rate. The adaptive control unit receives the error rate from the quantum computing quality evaluation unit. When the error rate is greater than an error rate threshold, the adaptive control unit generates one or more pulse adjustment parameters, and a pulse generation unit generates a pulse signal according to the pulse adjustment parameters and transmits the pulse signal to the quantum computing unit.
Resumen de: WO2026132439A1
Method and systems for rearranging atoms in an array of trap sites, the method comprising: determining or retrieving main detection threshold values for the trap sites, a main detection threshold value associated with a trap site defining a minimum number of photons emitted from the trap site to determine if the trap site is occupied with an atom; loading the trap sites with atoms and capturing an image of the trap sites, the imaging including measuring for each trap site a number of photons in a region of interest ROI in the image, the ROI defining a location of a trap site in the image, the measured number of photons defining a measured photon count associated with the ROI; classifying trap sites, the classifying including determining trap sites comprising an atom based on the main detection threshold values, a trap site comprising an atom defining an occupied trap; computing for each occupied trap site a quality score, the quality score of an occupied trap site being computed based on a measured photon count and a main detection threshold value associated with the occupied trap site; and, executing a rearrangement algorithm for rearranging atoms in the register to form a target layout of occupied trap sites in the array of trap sites, the executing of the rearrangement algorithm including selecting an occupied trap site from the occupied trap sites based on the quality scores associated with the occupied trap sites.
Resumen de: WO2026133256A1
In a general aspect, twirling operations are applied to parametric two-qubit quantum logic gates. In some cases, a quantum logic circuit includes a parametric two-qubit quantum logic gate, which has gate parameters and is a native quantum logic operation of a quantum processing unit. Multiple sets of twirling operations for the parametric two-qubit quantum logic gate are identified. At least one of the sets includes twirling operations that were determined based on specified values of the gate parameters. A first set of the twirling operations is selected, and a modified quantum logic circuit is generated. The modified quantum logic circuit includes the first set of twirling operations applied to the parametric two-qubit quantum logic gate.
Resumen de: US20260178957A1
A method may include: a classical computer program receiving a combinatorial optimization problem; initializing QAOA parameters for a quantum circuit; setting an initial depth and a maximum depth for the quantum circuit, a choice of basis, and a number of basis coefficients; determining that a current depth of the quantum circuit is less than or equal to the maximum depth; transforming the QAOA parameters to the basis coefficients; determining that a relative performance improvement for the basis coefficients is less than a threshold; transforming the basis coefficients to the QAOA parameters; simulating execution of a quantum circuit with the QAOA parameters, resulting in a bitstring; updating the basis coefficients based on the bitstring; determining that a current depth of the quantum circuit is greater than the maximum depth; executing the quantum circuit with the optimized QAOA; and outputting a final bitstring as a solution to the combinatorial optimization problem.
Resumen de: US20260178950A1
Qubits of a quantum system for use in executing a given quantum program of a plurality of quantum programs are determined. Control electronics associated with the determined qubits are determined and a set of partitions of the quantum system is determined based on an analysis of pending jobs. The qubits and the control electronics are allocated to the set of partitions of the quantum system based on the analysis of pending jobs and the quantum programs are run using the allocated qubits.
Resumen de: US20260179375A1
0000 An object detection device may include a variational autoencoder (VAE) configured to encode image data to generate a latent vector, and decode the latent vector to generate new image data, at least one quantum computing circuit configured to perform quantum subset summing, and a processor. The processor may be configured to cooperate with the at least one quantum computing circuit to train a plurality of deep learning models based upon a Quantum Neural Network (QNN), generate a game theory reward matrix for the plurality of deep learning models, perform quantum subset summing of the game theory reward matrix, select a deep learning model from the plurality thereof based upon the quantum subset summing of the game theory reward matrix, and process the new image data using the selected deep learning model for object detection.
Resumen de: WO2026131644A1
A method of probabilistic noise shaping of a target quantum circuit to be performed on a quantum processing unit, wherein an upper limit of quantum circuit executions and an upper limit of quantum circuit shots is predetermined, the method comprising the steps of: considering a plurality of variants of the target quantum circuit that forms, together with the target quantum circuit, a set of quantum circuits, wherein each element of the set of quantum circuits is associated with a probability according to a probability distribution, identifying, from the set of quantum circuits and according to the probability distribution, a first set of quantum circuits and a second set of quantum circuits, sampling from the first set of quantum circuits according to a first sampling strategy, which is based on at least the upper limit of quantum circuit shots, a first list of quantum circuits, and executing the quantum circuits of the first list on the quantum processing unit, thereby obtaining a first list of results, sampling from the second set of quantum circuits according to a second sampling strategy, which is based on the upper limit of quantum circuit executions and the upper limit of quantum circuit shots, a second list of quantum circuits, and executing the quantum circuit of the second list on the quantum processing unit, thereby obtaining a second list of results, and performing post processing of the first and second list of results to obtain a result of the target quantum circ
Resumen de: US20260178956A1
A quantum computing circuit includes a qubit element, and a coupler that causes interaction among three or more of the qubit elements, and the coupler is grounded and has nonlinearity.
Resumen de: US20260178958A1
A method may include obtaining a configuration of a quantum circuit comprising n qubits and k quantum gates. The k quantum gates include at least a single-qubit gate or a two-qubit control gate. The method may include constructing a neural network representing the quantum circuit, wherein the neural network includes k+1 layers that include k pairs of adjacent layers, with each pair of the adjacent layers corresponding to one of the k quantum gates. The method may include connecting one or more nodes in each pair of the adjacent layers based on a representation of a corresponding quantum gate of the k quantum gates. The method may include training the neural network using machine learning techniques to obtain an output. The method may include applying the output to the quantum circuit.
Resumen de: US20260178955A1
A quantum computing circuit includes quantum bit elements, and a coupler that causes equal to or more than two of the quantum bit elements to interact with each other, wherein the coupler includes a loop including a plurality of Josephson junctions, at least two of the Josephson junctions having different critical current values, and a magnetic field applying means for applying a magnetic field to the loop.
Resumen de: US20260179352A1
A change detection device may include a variational autoencoder (VAE) configured to encode image data to generate a latent vector and decode the latent vector to generate new image data, at least one quantum computing circuit configured to perform quantum subset summing, and a controller. The controller may be configured to cooperate with the at least one quantum computing circuit to generate a quantum reward matrix for a plurality of quantum neural network models using the at least one quantum computing circuit, select a quantum neural network model from the plurality of quantum neural network models based upon the new image data and the quantum reward matrix, and process the new image data using the selected quantum neural network model to detect changes therein.
Resumen de: WO2026132870A1
A method for optimizing a set of control parameter of a quantum system comprises obtaining a set of control parameter values and executing at least one measurement process. The at least one measurement process comprises acting with a sequence of operations of a sequence length on the quantum system to measure a sequence fidelity; updating the set of control parameter values by using an optimization routine based on a cost function obtained from the measured sequence fidelity and repeating the aforementioned steps, wherein the sequence length is determined according to an optimal sensitivity criterion.
Resumen de: WO2026132685A1
Disclosed are methods for quantum-classical hybrid optimization. In some embodiments, the method comprises providing a set of second variables that parameterize a Hamiltonian operator, and first variables that parameterize a quantum circuit executable on the quantum computing device; (a) executing, on a quantum computing device, the quantum circuit, to generate outcomes from read outs of the executions; (b) processing, by a classical computer, the outcomes by computing an expectation value of the Hamiltonian operator to obtain a cost function, and, using the cost function, computing implicit derivative information of the first variables with respect to the set of second variables; and (c) updating, by the classical computer, the first variables by using the implicit derivate information and updated second variables, wherein the updated second variables are generated by applying an update rule, and iteratively repeating steps (a)-(c) until the second variables reach final values, thereby evolving the quantum circuit and the Hamiltonian operator.
Resumen de: WO2026132761A1
A photonic chip for an ion trap system including a conductive window structure configured to transmit electromagnetic radiation within a first wavelength range. The photonic chip further including aluminium doped zinc oxide (AZO) and a photonics layer configured to: i) permit the propagation of electromagnetic radiation through the photonic chip ii) emit electromagnetic radiation from the photonic chip via the conductive window structure and/or receive electromagnetic radiation via the conductive window structure.
Resumen de: US20260178954A1
Methods and systems for performing robust phase estimation of single- and multi-qudit gate operations using single-flux quantum (SFQ) control may include: obtaining an indication of a plurality of qudits, wherein at least one qudit of the plurality of qudits is controlled with SFQ control; obtaining an indication of a model representative of the plurality of qudits and single- and multi-qudit gate operations, the model comprising one or more tunable and, optionally, non-tunable parameters; initializing the one or more tunable parameters of the model; using the one or more tunable and, optionally, non-tunable parameters to design one or more quantum circuits; using the one or more tunable parameters' values of the model to set SFQ control parameters; using the SFQ control parameters to execute the one or more quantum circuits; performing a quantum measurement of one or more qudits of the plurality of qudits; and analyzing results of the quantum measurement to infer experimental values of the tunable and, optionally, non-tunable model parameters.
Resumen de: EP4481633A1
0001 The invention relates to a method of measuring an observable of a cat qubit.
0002 A quantum system includes a command circuit and a non-linear superconducting quantum circuit including a non-linear element and a resonant portion. The non-linear superconducting quantum circuit has first and second modes with respective resonant frequencies fa and fb.
0003 The method comprises:
a) delivering (900), by the command circuit, microwave radiation at a frequency fb to drive the second mode, thereby causing the non-linear element to engineer a jump operator L 2 α =
κ 2 a 2 − α 2
stabilizing a two-dimensional manifold hosting the cat qubit,
b) mapping (910) the observable to be measured to the Pauli operator Z in a cat qubit manifold of a size value which square modulus is greater than or equal to 2, and
c) measuring (920) the value of the Pauli operator Z.
Resumen de: US20260178949A1
Methods and systems herein may solve engineering problems, such as multiphysics problems as design optimization problems, using quantum computing. Such quantum computing may utilize a quantum computing system, which may include a classical computing processor and a quantum processor. The classical computing processor may be configured to provide instructions to and receive output from the quantum processor. The quantum processor may comprise one or more quantum bits manipulated and measured by a quantum bit interface module. Input and a model comprising a quantum algorithm for an engineering problem may be used by the classical computing processor to generate quantum input for the quantum processor, which may operate using the quantum input, and quantum output may be returned to the classical computing processor to determine the output of the engineering model. In some implementations, an error may be determined and an error correction applied to the engineering model.
Resumen de: US20260177748A1
A method for fabricated on-chip quantum optical circuits is provided. The quantum optical circuit uses spatially ordered and spectrally uniform single photon sources based on a new class of epitaxial quantum dots, dubbed mesa-top single quantum dots. The large scale on-chip integration of the mesa-top single quantum dots with emitted photon manipulating units using either monolithic integration or hybrid integration with silicon photonics approaches for large scale entangled photon generation (>100-1000 photons) at high repetition rates (˜>10 GHz).
Resumen de: US20260178953A1
A method for configuring a quantum computing system, wherein the quantum computing system includes a plurality of qubits arranged on a two-dimensional, 2D, lattice and configured to perform a plurality of quantum computational operations. The method includes receiving a selection of a first plurality of qubits and a second plurality of qubits of the plurality of qubits that represent two different degrees of freedom related to respective constituents of a physical system to be mapped onto these first and second pluralities of qubits. Adjacent qubits of the first aspect are configured to transmit quantum information between each other. A number of chains of the first plurality of qubits and a number of ladders of the second plurality of qubits are configured to perform a plurality of quantum computational operations.
Resumen de: US20260178695A1
Methods and apparatuses for estimating a property of a semiconductor device using a quantum computing device are provided. A method comprises initializing a first system of equations based on one or more parameters relating to a spatially discretized representation of the semiconductor device, applying a method of cyclic reduction to the first system of equations to obtain a second system of equations which reduces the computational complexity of the method; and estimating the property of the semiconductor device based on the solution to the second system of equations. A method comprises determining entries of a matrix B that is the inverse of a matrix A, where the entries of the matrix A represent interactions within a layer of a spatially discretized representation of a semiconductor device, by formulating a quadratic unconstrained binary optimization, QUBO, problem, and executing the QUBO problem on a quantum computing device.
Resumen de: US20260178959A1
In an example, the present invention provides a modular quantum computer system. The system has at least one quantum computer cell system. In an example, the system has a plurality of qubits comprising a laser coolable atom, ion, nitrogen vacancy center, silicon color center or qubit systems with an optical control capability, such that a number of the qubits range from one to 100,000, among others. In an example, the quantum computer cell system has an optical link. The optical link has a photon collection system or a pair of optical mirrors characterized by a mirror reflectivity >90% and configured to form a cavity, the cavity having a length, e.g., ranging from 1 micrometer to 1 centimeter or longer.
Resumen de: AU2024385938A1
Systems, methods, and apparatus for multiplexed control and readout of quantum computing systems that can include qubits, couplers, and other related quantum computing circuit devices. Numerous examples of superconducting quantum computing systems are described that include some, or all, of these quantum computing circuit devices integrated into a superconducting quantum circuit that can be interfaced by a classical control system. In one example, a superconducting circuit is described. The superconducting circuit includes: a superconducting device including a superconducting loop interrupted by one or more Josephson junctions; a first microwave resonator inductively coupled to the superconducting loop of the superconducting device; a second microwave resonator capacitively coupled to the superconducting device, where the first and second microwave resonators each have a different fundamental frequency; and a microwave transmission line evanescently coupled to each of the first and second microwave resonators.
Nº publicación: JP2026521058A 25/06/2026
Solicitante:
グーグルエルエルシー
Resumen de: US2025165844A1
0000 Methods, systems, and apparatus for predicting an occurrence of errors in a quantum computation. In one aspect, a method includes updating edge weights of a second quantum error correction detector graph by performing a local search of a first quantum error correction detector graph, wherein performing the local search comprises, for each detection event in the first quantum error correction detector graph, reweighting complementary edges in the second quantum error correction detector graph using single-edge errors on an edge that connects the detection event to a nearest other detection event; and executing a decoding process on the second quantum error correction detector graph to compute a decoding output of the decoding process, wherein the decoding output predicts the occurrence of errors in the quantum computation.