Peter J. Karalekas
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View article: Hardware-efficient quantum error correction via concatenated bosonic qubits
Hardware-efficient quantum error correction via concatenated bosonic qubits Open
To solve problems of practical importance1,2, quantum computers probably need to incorporate quantum error correction, in which a logical qubit is redundantly encoded in many noisy physical qubits3-5. The large physical-qubit overhead asso…
View article: Hardware-efficient quantum error correction via concatenated bosonic qubits
Hardware-efficient quantum error correction via concatenated bosonic qubits Open
In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many noisy physical qubits. The large physical-qubit overhead t…
View article: Demonstrating a Long-Coherence Dual-Rail Erasure Qubit Using Tunable Transmons
Demonstrating a Long-Coherence Dual-Rail Erasure Qubit Using Tunable Transmons Open
Quantum error correction with erasure qubits promises significant advantages over standard error correction due to favorable thresholds for erasure errors. To realize this advantage in practice requires a qubit for which nearly all errors …
View article: A distributed blossom algorithm for minimum-weight perfect matching
A distributed blossom algorithm for minimum-weight perfect matching Open
We describe a distributed, asynchronous variant of Edmonds's exact algorithm for producing perfect matchings of minimum weight. The development of this algorithm is driven by an application to online error correction in quantum computing, …
View article: Mitiq: A software package for error mitigation on noisy quantum computers
Mitiq: A software package for error mitigation on noisy quantum computers Open
We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error mitigation techniques can reduce the impact of noise on near-term quantum computers with minimal overhead in quantum resources by relying on a mixt…
View article: Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays
Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays Open
Programmable arrays of hundreds of Rydberg atoms have recently enabled the exploration of remarkable phenomena in many-body quantum physics. In addition, the development of high-fidelity quantum gates are making them promising architecture…
View article: aether: Distributed system emulation in Common Lisp
aether: Distributed system emulation in Common Lisp Open
We describe a Common Lisp package suitable for the high-level design, specification, simulation, and instrumentation of real-time distributed algorithms and hardware on which to run them. We discuss various design decisions around the pack…
View article: A quantum-classical cloud platform optimized for variational hybrid algorithms
A quantum-classical cloud platform optimized for variational hybrid algorithms Open
In order to support near-term applications of quantum computing, a new\ncompute paradigm has emerged--the quantum-classical cloud--in which quantum\ncomputers (QPUs) work in tandem with classical computers (CPUs) via a shared\ncloud infras…
View article: Parametrically Activated Entangling Gates Using Transmon Qubits
Parametrically Activated Entangling Gates Using Transmon Qubits Open
We describe and implement a family of entangling gates activated by radio-frequency flux modulation applied to a tunable transmon that is statically coupled to a neighboring transmon. The effect of this modulation is the resonant exchange …
View article: Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers Open
Noisy intermediate-scale quantum computing devices are an exciting platform for the exploration of the power of near-term quantum applications. Performing nontrivial tasks in such devices requires a fundamentally different approach than wh…
View article: Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers Open
Noisy intermediate-scale quantum computing devices are an exciting platform for the exploration of the power of near-term quantum applications. Performing nontrivial tasks in such devices requires a fundamentally different approach than wh…
View article: Demonstration of universal parametric entangling gates on a multi-qubit lattice
Demonstration of universal parametric entangling gates on a multi-qubit lattice Open
Harnessing techniques from analog signal processing, we establish a new path for large-scale quantum computation.
View article: Unsupervised Machine Learning on a Hybrid Quantum Computer
Unsupervised Machine Learning on a Hybrid Quantum Computer Open
Machine learning techniques have led to broad adoption of a statistical model of computing. The statistical distributions natively available on quantum processors are a superset of those available classically. Harnessing this attribute has…