Abstract: Techniques using short depth circuits as quantum classifiers are described. In one embodiment, a system is provided that comprises: quantum hardware, a memory that stores computer-executable components and a processor that executes computer-executable components stored in the memory. In one implementation, the computer-executable components comprise a calibration component that calibrates quantum hardware to generate a short depth quantum circuit. The computer-executable components further comprise a cost function component that determines a cost function for the short depth quantum circuit based on an initial value for a parameter of a machine-learning classifier. The computer-executable components further comprise a training component that modifies the initial value for the parameter during training to a second value for the parameter based on the cost function for the short depth quantum circuit.

Abstract: Techniques for performing cost function deformation in quantum approximate optimization are provided. The techniques include mapping a cost function associated with a combinatorial optimization problem to an optimization problem over allowed quantum states. A quantum Hamiltonian is constructed for the cost function, and a set of trial states are generated by a physical time evolution of the quantum hardware interspersed with control pulses. Aspects include measuring a quantum cost function for the trial states, determining a trial state resulting in optimal values, and deforming a Hamiltonian to find an optimal state and using the optimal state as a next starting state for a next optimization on a deformed Hamiltonian until an optimizer is determined with respect to a desired Hamiltonian.

Abstract: The technology described herein is directed towards a cryogenic-stripline microwave attenuator. A first high thermal conductivity substrate such as sapphire and a second high thermal conductivity substrate such as sapphire, along with a signal conductor comprising one or more attenuator lines between the substrates form a stripline. A compression component such as one or more screws, vias (plus clamps) and/or clamps presses the first high thermal conductivity substrate against one side of the signal conductor and presses the second high thermal conductivity substrate against another side of the signal conductor. The high thermal conductivity of the substrates facilitates improved thermalization, while the pressing of the substrates against the conductor reduces the thermal boundary (Kapitza) resistance and thereby, for example, improves thermalization and reduces thermal noise.

Abstract: A system for adjusting qubit frequency includes a qubit device having a Josephson junction and a shunt capacitor coupled to electrodes of the Josephson junction. A cantilevered conductor is separated from the shunt capacitor by a spacing. An adjustment mechanism is configured to deflect the cantilevered conductor to tune a qubit frequency for the qubit device.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate state dependent calibration of qubit measurements are provided. 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 a state prediction component that predicts a readout state of one or more qubits of a quantum circuit. The computer executable components can further comprise a calibration component that calibrates a qubit readout signal based on the readout state to generate a state dependent qubit readout signal to read the one or more qubits.

Abstract: A superconducting coupling device includes a resonator structure. The resonator structure has a first end configured to be coupled to a first device and a second end configured to be coupled to a second device. The device further includes an electron system coupled to the resonator structure, and a gate positioned proximal to a portion of the electron system. The electron system and the gate are configured to interrupt the resonator structure at one or more predetermined locations forming a switch. The gate is configured to receive a gate voltage and vary an inductance of the electron system based upon the gate voltage. The varying of the inductance induces the resonator structure to vary a strength of coupling between the first device and the second device.

Abstract: Techniques facilitating cached result use through quantum gate rewrite are provided. In one example, a computer-implemented method comprises converting, by a device operatively coupled to a processor, an input quantum circuit to a normalized form, resulting in a normalized quantum circuit; detecting, by the device, a match between the normalized quantum circuit and a cached quantum circuit among a set of cached quantum circuits; and providing, by the device, a cached run result of the cached quantum circuit based on the detecting.

Abstract: Techniques facilitating quantum software developer kit and framework as a service are provided. 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 execution component that executes, on a quantum device located within a cloud computing environment, a code based on an identification of the code received from a communication device. A quantum software development kit can execute on the communication device.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate adaptive compilation of quantum computing jobs are provided. 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 a selection component that selects a quantum device to execute a quantum program based on one or more run criteria. The computer executable components can further comprise an adaptive compilation component that modifies the quantum program based on one or more attributes of the quantum device to generate a modified quantum program compilation of the quantum program.

Abstract: Techniques for facilitating quantum pulse optimization using machine learning are provided. In one example, a system includes a classical processor and a quantum processor. The classical processor employs a quantum pulse optimizer to generate a quantum pulse based on a machine learning technique associated with one or more quantum computing processes. The quantum processor executes a quantum computing process based on the quantum pulse.

Abstract: Techniques for facilitating quantum tomography are provided. In one example, a system includes a circuit generation component and a tomography analysis component. The circuit generation component generates tomography experiment data indicative of information for a set of tomography experiments based on quantum circuit data indicative of a machine-readable description of a quantum circuit. The tomography analysis component generates tomogram data based on experimental result data indicative of information associated with the tomography experiment data.

Abstract: A quantum computer system for streaming data results, the quantum computer system configured to: receive a first job request from a requesting entity, the first job request comprising instructions to execute a plurality of times a first quantum program, the first job request further comprising an instruction to output one or more first partial data results after one or more executions of said quantum program; execute the first job request; and send to the requesting entity the one or more first partial data results of the executed first job request corresponding to the one or more executions of the first quantum program.

Abstract: A repository is configured in a hybrid data processing environment comprising a classical computing system and a quantum computing system, to hold a plurality of quantum circuit components (QCC(s)). A degree of difficulty in simulating the received QCC in the classical computing system is transformed into a classical hardness score. A degree of difficulty in implementing the received QCC in the quantum computing system is transformed into a quantum hardness score. A first parameter in a metadata data structure associated with the received QCC is populated with the classical hardness score. A second parameter in the metadata data structure associated with the received QCC is populated with the quantum hardness score. The received QCC is transformed into a library element by at least augmenting the received QCC with the metadata data structure. The library element is added to the repository.

Abstract: Devices and methods that can facilitate vertical dispersive readout of qubits of a lattice surface code architecture are provided. According to an embodiment, a device can comprise a first substrate that can have a first side and a second side that can be opposite the first side. The first substrate can comprise a read pad that can be located on the first side and a readout resonator that can be located on the second side. The device can further comprise a second substrate that can be connected to the first substrate. The second substrate can comprise a qubit. In some embodiments, the device can further comprise a recess that can be located on the first side of the first substrate. The recess can comprise the read pad.

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: A set of quantum assembly language referencing a quantum algorithm is received from a user. A quantum device is selected to execute the set of quantum assembly language. Responsive to the selected quantum device, an implementation of the quantum algorithm from a remote repository is selected, the remote repository comprising a set of implementations of a set of quantum algorithms. An implementation in the set of implementations in the remote repository is compiled to form a compiled quantum circuit. The compiled quantum circuit is transformed into a quantum circuit model. Using the selected quantum device, the quantum circuit model is executed.

Abstract: The technology described herein is directed towards microwave attenuators, and more particularly to a cryogenic microwave attenuator device for quantum technologies. In some embodiments, a device can comprise a cryogenic microwave attenuator device. The cryogenic microwave attenuator device can comprise: a housing component and a microwave attenuator chip, wherein the housing component can have thermal conductivity of about at least 0.1 Watts per meter-Kelvin at 1 degree Kelvin. The cryogenic microwave attenuator device can also comprise a microwave connector comprising a signal conductor that is direct wire coupled to the microwave attenuator chip.

Abstract: In an embodiment, a quantum circuit (circuit) includes a first qubit and a second qubit. In an embodiment, a quantum circuit includes a tunable microwave resonator, wherein a first applied magnetic flux is configured to tune the microwave resonator to a first frequency, the first frequency configured to activate an interaction between the first qubit and the second qubit, and wherein a second applied magnetic flux is configured to tune the microwave resonator to a second frequency, the second frequency configured to minimize an interaction between the first qubit and the second qubit.

Abstract: A method includes detecting submission of a first quantum circuit for compilation, the first quantum circuit comprising a first set of quantum logic gates; generating a first gate index, the first gate index comprising an ordered table of a subset of the set of quantum logic gates, each quantum logic gate of the subset of quantum logic gates including a corresponding set of qubits acted on by the quantum logic gate; comparing the first gate index with a second gate index to determine a structural equality of the first quantum circuit and the second quantum circuit; and parameterizing, in response to determining a structural equality of the first quantum circuit and the second quantum circuit, a first set of parameters of a second set of quantum logic gates of the second quantum circuit with a second set of parameters of the first set of quantum logic gates.

Abstract: The illustrative embodiments provide a method, system, and computer program product for validating quantum algorithms using a machine learning model. In an embodiment, a method includes receiving a training data set. In an embodiment, a method includes training, by a first processor, a machine learning model with the training data set for validation of quantum circuits. In an embodiment, a method includes generating, by the machine learning model, a set of rules for validation of quantum circuits.