Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to a technique for the fabrication of laser-ablation targets used in atomic sources for QIP systems that are based on atomic-based qubits.

Abstract: Aspects of the present disclosure relate to efficiently trapping ions for QIP systems. A system may include an ablation laser beam source and an ion trapping structure including: an enclosure with an orifice, a source material that is arranged in the enclosure and receives an ablation laser pulse to provide a plume of atoms. A system may include at least one LED that is arranged in the enclosure and onto which at least a portion of the plume of atoms is deposited, wherein the at least one LED is configured to emit light that desorbs at least one deposited atom through the orifice. A system may include an ion trap with a gap through which the at least one deposited atom desorbed travels from the orifice, and a laser beam source configured to generate a laser beam towards the at least one deposited atom creating a trapped ion.

Abstract: Aspects of the present disclosure describe techniques for using a parabolic Cassegrain-type reflector for ablation. For example, a system for ablation loading of a trap is described that includes a reflector having a hole aligned with a loading aperture of the trap, and an atomic source positioned at a focal point of the reflector, where one or more laser beams are reflected from a reflective front side of the reflector and focused on a surface of the atomic source to produce an atomic plume, and the atomic plume once produced passing through the hole in the reflector and through a loading aperture of the trap for loading the trap. A method for ablation loading of a trap within a chamber in a trapped ion system is also described.

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems. To optimize the performance of QIP systems or quantum computers in terms of both fidelity and algorithm uptime or throughput, described are techniques to stabilize continuous and discrete errors from drifting and/or noisy secondary observables to achieve long term stable operation.

Abstract: Aspects of the present disclosure describe a method including compressing and uncompressing redundant quantum information encoded in quantum computers; processing quantum information in the compressed space; and computing, in response to determining the ansatz terms, a set of optimal transformations.

Abstract: Systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems or quantum computers, and more particularly, to benchmark-driven automation for tuning quantum computers are described. A method and a system are described for an active stabilization approach for efficient quantum gate tuning or calibration in quantum computers through statistical modeling that involves an iterative process in which odd population error tests and even population balance tests are used to identify which quantum gates from a failed set of quantum gates need calibration.

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to provide stabilization of a position of an ion trap via displacement of one or more piezoelectric elements.

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to implementation of beam shaping structures to the QIP systems. Beam shaping structures can include a first prism, a mirror, and second prism arranged at distance from one another and configured to receive and reflect a laser beam to shape the beam upon exit from the structure. Such beam shaping structures provide flexibility to the QIP system by permitting easy exchange of optical elements in order to achieve different laser beam spot aspect ratios.

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to a fast single-mode spectroscopy technique that may be used in trapped-ion QIP systems. A method is described that includes performing a first measurement scan (full scan) across all motional modes of an ion chain in a trap followed by a second measurement scan on a single motional mode of the motional modes (single-mode scan). The second measurement scan determines a frequency shift associated with the single motional mode, which is applied to adjust the frequencies of all the motional modes. An implementation of two-qubit gates for quantum computations is based on the adjusted frequencies. A quantum computer or QIP system is also described that is configured to implement and perform the method described above.

Abstract: The disclosure describes various aspects of a practical implementation of multi-qubit gate architecture. A method is described that includes enabling ions in the ion trap having three energy levels, enabling a low-heating rate motional mode (e.g., zig-zag mode) at a ground state of motion with the ions in the ion trap; and performing a Cirac and Zoller (CZ) protocol using the low-heating rate motional mode as a motional state of the CZ protocol and one of the energy levels as an auxiliary state of the CZ protocol, where performing the CZ protocol includes implementing the multi-qubit gate. The method also includes performing one or more algorithms using the multi-qubit gate, including Grover's algorithm, Shor's factoring algorithm, quantum approximation optimization algorithm (QAOA), error correction algorithms, and quantum and Hamiltonian simulations. A corresponding system that supports the implementation of a multi-qubit gate architecture is also described.

Abstract: Aspects of the present disclosure relate generally to systems and methods for classifying an object in an image using a quantum convolutional neural network (QCNN). A method includes receiving the image; compressing, using an autoencoder, the image by extracting a plurality of features; encoding the plurality of features into quantum states by applying a quantum feature map corresponding to a quantum circuit unique to the image, where parameters of the quantum circuit depend on pixel values in the image; inputting the encoded plurality of features into the QCNN that is trained to detect the object and generate a classification of the object; and outputting the classification of the object generated by the QCNN.

Abstract: Aspects of the present disclosure describe a method including predicting a first set of ansatz terms and a first plurality of amplitudes associated with the first set of ansatz terms; minimizing energy of the system based on the first set of ansatz terms and the first plurality of amplitudes; computing perturbative corrections using one or more ansatz wavefunctions; determining whether energy of the system converges; and predicting, in response to determining that the energy of the system does not converge, a second set of ansatz terms and a second plurality of amplitudes associated with the second set of ansatz terms.

Abstract: Aspects of the present disclosure describe a method including predicting a first set of ansatz terms and a first plurality of amplitudes associated with the first set of ansatz terms; minimizing energy of the system based on the first set of ansatz terms and the first plurality of amplitudes; computing perturbative corrections using one or more ansatz wavefunctions; determining whether energy of the system converges; and predicting, in response to determining that the energy of the system does not converge, a second set of ansatz terms and a second plurality of amplitudes associated with the second set of ansatz terms.

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to methods and systems for improving vacuum in compact room temperature packages. An exemplary method for preparing a vacuum chamber for a QIP system includes inserting, into a processing vacuum chamber, a lid having a shadow mask on an optical window, coating the inside of the lid with a getter material; removing the shadow mask from the optical window; and providing an ion trap package in the processing vacuum chamber and welding the lid on a top of the ion trap package to prepare the vacuum chamber.

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to the computation of joint probability distributions with quantum computers. Improvements in the computation of joint probability distributions are described by designing quantum machine learning algorithms to model copulas. Moreover, any copula is shown to be naturally mapped to a multipartite maximally entangled state. A variational ansatz referred to herein as a “qopula” creates arbitrary correlations between variables while maintaining the copula structure starting from a set of Bell pairs for two variables, or Greenberger-Horne-Zeilinger (GHZ) states for multiple variables. Generative learning algorithms may be demonstrated on quantum computers, and more particularly, in trapped-ion quantum computers. The approach described herein is shown to have advantages over classical models.

Abstract: A method and system is provided for operating a quantum information processing (QIP) system, including a dual-space, single-species architecture for trapped-ion quantum information processing. An exemplary method of operating quantum information processing (QIP) system includes applying a global optical beam to a plurality of dual-space, single-species (DSSS) trapped ions; and applying at least one Raman beam of a plurality of Raman beams to a DSSS trapped ion of the plurality of DSSS trapped ions to transition a qubit associated with the DSSS trapped ion from a ground state, a metastable state, or an optical state to a different state.

Abstract: Systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems or quantum computers, and more particularly, to benchmark-driven automation for tuning quantum computers are described. A method includes identifying a set of quantum gates and a number of experimental shots to perform a benchmark algorithm for active stabilization of one or more observables of the set of quantum gates and executing the benchmarking algorithm based on the set of quantum gates and the number of experimental shots. Moreover, in response to the benchmarking algorithm being successful, executing an algorithm on the quantum computer, and in response to the benchmarking algorithm being unsuccessful, iterating the benchmarking algorithm by adjusting the set of quantum gates until the benchmarking algorithm is successful or a preset number of iterations is reached.

Abstract: Aspects of the present disclosure relate generally to systems and methods for detecting change in images using a quantum information processing (QIP) system. The method includes implementing a quantum circuit in the QIP system, the quantum circuit comprising at least an ancilla qubit denoted as |a> and qubits denoted as image qubit conditions on a |0> state and a |1> state of the ancilla qubit |a>. The method also includes loading a reference image and a test image onto image qubits controlled on the |0> state and the |1> state of the ancilla qubit |a> in the quantum circuit. The method further includes determining a state of the image qubits after measuring |1> on the ancilla qubit for a predetermined number of times, wherein the reference image is detected to be different from the test image when the state of the ancilla qubit measures |1>.

Abstract: Systems and methods are described for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to implementation of streaming gates.

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to a double individual-addressing multi-beam Raman system for use in QIP systems. A technique is described in which a first muti-channel modulator (MCM), a first telecentric zoom lens, and a first interleaver that form a first optical path of the Raman system that receives a first array of beams and adjusts the first array of beams to individually address atomic-based qubits in a chain from a first direction. Moreover, a second MCM, a second telecentric zoom lens, and a second interleaver form a second optical path of the Raman system that receives a second array of beams and adjusts the second arrays of beams to individually address the atomic-based qubits in the chain from a second direction different from the first direction.