Abstract: Systems and techniques that facilitate strategic pausing for quantum state leakage mitigation are provided. In various embodiments, a system can comprise a detection component that can detect a quantum state leakage associated with one or more qubits. In various aspects, the system can further comprise a pause component that can, in response to detecting the quantum state leakage, generate a time pause prior to execution of a quantum circuit on the one or more qubits. In various embodiments, the pause component can generate the time pause after execution of a previous quantum circuit on the one or more qubits, where the quantum state leakage arises during the execution of the previous quantum circuit. In some cases, the quantum state leakage can decay during the time pause.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to dynamically determine a threshold for determining a state of a qubit and apply the threshold for operating a pulse to de-excite the qubit. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a decision component that is configured to determine a threshold of a plurality of thresholds to apply to measurement of a state of a qubit based on a probability distribution of state of the qubit, wherein a measurement at one side of the threshold is representative of the qubit being in the ground state, and wherein a measurement at another side of the threshold is representative of the qubit being in an excited state.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate determining a state of a qubit are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an output receiving component that can receive, in response to a request, output representative of a quantum state of a qubit of a quantum computing device, and a classifying component that classifies the quantum state of the qubit of the quantum computing device based on the output representative of the quantum state of the qubit. The system can further include a configuring component that can configure the classifying component based on a characteristic of the request.

Abstract: Techniques regarding calibrating one or more quantum decoder algorithms are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a correlation inversion decoder component that can calibrate a quantum decoder algorithm for decoding a quantum error-correcting code by estimating hyperedge probabilities of a decoding hypergraph that are consistent with a syndrome dataset.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate determining a state of a qubit are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an output receiving component that can receive, in response to a request, output representative of a quantum state of a qubit of a quantum computing device, and a classifying component that classifies the quantum state of the qubit of the quantum computing device based on the output representative of the quantum state of the qubit. The system can further include a configuring component that can configure the classifying component based on a characteristic of the request.

Abstract: Techniques regarding calibrating one or more quantum decoder algorithms are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a correlation inversion decoder component that can calibrate a quantum decoder algorithm for decoding a quantum error-correcting code by estimating hyperedge probabilities of a decoding hypergraph that are consistent with a syndrome dataset.

Abstract: Techniques regarding tiling a CR gate configuration to one or more lattices characterizing quantum circuit topologies are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a tiling component that can generate a cross-resonance gate configuration that delineates a control qubit assignment and a target qubit assignment in conjunction with a frequency allocation onto a lattice characterizing a quantum circuit topology.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate determining a state of a qubit are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an output receiving component that can receive, in response to a request, output representative of a quantum state of a qubit of a quantum computing device, and a classifying component that classifies the quantum state of the qubit of the quantum computing device based on the output representative of the quantum state of the qubit. The system can further include a configuring component that can configure the classifying component based on a characteristic of the request.

Abstract: Systems and techniques that facilitate strategic pausing for quantum state leakage mitigation are provided. In various embodiments, a system can comprise a detection component that can detect a quantum state leakage associated with one or more qubits. In various aspects, the system can further comprise a pause component that can, in response to detecting the quantum state leakage, generate a time pause prior to execution of a quantum circuit on the one or more qubits. In various embodiments, the pause component can generate the time pause after execution of a previous quantum circuit on the one or more qubits, where the quantum state leakage arises during the execution of the previous quantum circuit. In some cases, the quantum state leakage can decay during the time pause.

Abstract: Lattice arrangements for quantum qubits are described. A lattice arrangement can comprise adjacent structures having vertices connected by edges. The qubits can be positioned on the vertices. A qubit in the lattice arrangement directly connects to not more than three other qubits, or connects to another qubit via a coupling qubit on an edge between two qubits on a vertex. The adjacent structures can comprise hexagons, dodecagons or octagons. A superconducting qubit lattice can comprise superconducting target qubits and superconducting control qubits. The superconducting qubit lattice can comprise adjacent structures having vertices connected by edges, with target qubits positioned on the vertices and control qubits positioned on the edges. Logic operations between adjacent superconducting target and control qubits can be implemented by driving the superconducting control qubit at or near the frequency of the superconducting target qubit.

Abstract: An embodiment includes (CR) gate having a first control qubit coupled with a first target qubit, and a second CR gate having a second control qubit coupled with a second target qubit and the first control qubit. The embodiment also includes controller circuitry for performing operations including first and second iterations of: during a first time period, directing respective CR pulses to the first and second control qubits; during a second time period, directing respective single qubit pulses to the first control qubit and to the second target qubit; during a third time period, directing respective CR pulses to the first and second control qubits; and during a fourth time period, directing respective single qubit pulses to the second control qubit and to the first target qubit.

Abstract: Lattice arrangements for quantum qubits are described. A lattice arrangement can comprise adjacent structures having vertices connected by edges. The qubits can be positioned on the vertices. A qubit in the lattice arrangement directly connects to not more than three other qubits, or connects to another qubit via a coupling qubit on an edge between two qubits on a vertex. The adjacent structures can comprise hexagons, dodecagons or octagons. A superconducting qubit lattice can comprise superconducting target qubits and superconducting control qubits. The superconducting qubit lattice can comprise adjacent structures having vertices connected by edges, with target qubits positioned on the vertices and control qubits positioned on the edges. Logic operations between adjacent superconducting target and control qubits can be implemented by driving the superconducting control qubit at or near the frequency of the superconducting target qubit.

Abstract: An embodiment includes (CR) gate having a first control qubit coupled with a first target qubit, and a second CR gate having a second control qubit coupled with a second target qubit and the first control qubit. The embodiment also includes controller circuitry for performing operations including first and second iterations of: during a first time period, directing respective CR pulses to the first and second control qubits; during a second time period, directing respective single qubit pulses to the first control qubit and to the second target qubit; during a third time period, directing respective CR pulses to the first and second control qubits; and during a fourth time period, directing respective single qubit pulses to the second control qubit and to the first target qubit.

Abstract: An embodiment includes (CR) gate having a first control qubit coupled with a first target qubit, and a second CR gate having a second control qubit coupled with a second target qubit and the first control qubit. The embodiment also includes controller circuitry for performing operations including first and second iterations of: during a first time period, directing respective CR pulses to the first and second control qubits; during a second time period, directing respective single qubit pulses to the first control qubit and to the second target qubit; during a third time period, directing respective CR pulses to the first and second control qubits; and during a fourth time period, directing respective single qubit pulses to the second control qubit and to the first target qubit.

Abstract: Generating trial states for a variational quantum Eigenvalue solver (VQE) using a quantum computer is described. An example method includes selecting a number of samples S to capture from qubits for a particular trial state. The method further includes mapping a Hamiltonian to the qubits according the trial state. The method further includes setting up an entangler in the quantum computer, the entangler defining an entangling interaction between a subset of the qubits of the quantum computer. The method further includes reading out qubit states after post-rotations associated with Pauli terms in the target Hamiltonian, the reading out being performed for S samples. The method further includes computing an energy state using the S qubit states. The method further includes, in response to the estimated energy state not converging with an expected energy state, computing a new trial state for the VQE and iterating to compute the estimated energy using the new trial state.

Abstract: Lattice arrangements for quantum qubits are described. A lattice arrangement can comprise adjacent structures having vertices connected by edges. The qubits can be positioned on the vertices. A qubit in the lattice arrangement directly connects to not more than three other qubits, or connects to another qubit via a coupling qubit on an edge between two qubits on a vertex. The adjacent structures can comprise hexagons, dodecagons or octagons. A superconducting qubit lattice can comprise superconducting target qubits and superconducting control qubits. The superconducting qubit lattice can comprise adjacent structures having vertices connected by edges, with target qubits positioned on the vertices and control qubits positioned on the edges. Logic operations between adjacent superconducting target and control qubits can be implemented by driving the superconducting control qubit at or near the frequency of the superconducting target qubit.

Abstract: Lattice arrangements for quantum qubits are described. A lattice arrangement can comprise adjacent structures having vertices connected by edges. The qubits can be positioned on the vertices. A qubit in the lattice arrangement directly connects to not more than three other qubits, or connects to another qubit via a coupling qubit on an edge between two qubits on a vertex. The adjacent structures can comprise hexagons, dodecagons or octagons. A superconducting qubit lattice can comprise superconducting target qubits and superconducting control qubits. The superconducting qubit lattice can comprise adjacent structures having vertices connected by edges, with target qubits positioned on the vertices and control qubits positioned on the edges. Logic operations between adjacent superconducting target and control qubits can be implemented by driving the superconducting control qubit at or near the frequency of the superconducting target qubit.

Abstract: Lattice arrangements for quantum qubits are described. A lattice arrangement can comprise adjacent structures having vertices connected by edges. The qubits can be positioned on the vertices. A qubit in the lattice arrangement directly connects to not more than three other qubits, or connects to another qubit via a coupling qubit on an edge between two qubits on a vertex. The adjacent structures can comprise hexagons, dodecagons or octagons. A superconducting qubit lattice can comprise superconducting target qubits and superconducting control qubits. The superconducting qubit lattice can comprise adjacent structures having vertices connected by edges, with target qubits positioned on the vertices and control qubits positioned on the edges. Logic operations between adjacent superconducting target and control qubits can be implemented by driving the superconducting control qubit at or near the frequency of the superconducting target qubit.

Abstract: Generating trial states for a variational quantum Eigenvalue solver (VQE) using a quantum computer is described. An example method includes selecting a number of samples S to capture from qubits for a particular trial state. The method further includes mapping a Hamiltonian to the qubits according the trial state. The method further includes setting up an entangler in the quantum computer, the entangler defining an entangling interaction between a subset of the qubits of the quantum computer. The method further includes reading out qubit states after post-rotations associated with Pauli terms in the target Hamiltonian, the reading out being performed for S samples. The method further includes computing an energy state using the S qubit states. The method further includes, in response to the estimated energy state not converging with an expected energy state, computing a new trial state for the VQE and iterating to compute the estimated energy using the new trial state.

Abstract: Generating trial states for a variational quantum Eigenvalue solver (VQE) using a quantum computer is described. An example method includes selecting a number of samples S to capture from qubits for a particular trial state. The method further includes mapping a Hamiltonian to the qubits according the trial state. The method further includes setting up an entangler in the quantum computer, the entangler defining an entangling interaction between a subset of the qubits of the quantum computer. The method further includes reading out qubit states after post-rotations associated with Pauli terms in the target Hamiltonian, the reading out being performed for S samples. The method further includes computing an energy state using the S qubit states. The method further includes, in response to the estimated energy state not converging with an expected energy state, computing a new trial state for the VQE and iterating to compute the estimated energy using the new trial state.