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View article: Efficient generation of multi-partite entanglement between non-local superconducting qubits using classical feedback
Efficient generation of multi-partite entanglement between non-local superconducting qubits using classical feedback Open
Quantum entanglement is one of the primary features which distinguish quantum computers from classical computers. In gate-based quantum computing, the creation of entangled states or the distribution of entanglement across a quantum proces…
View article: Practical Introduction to Benchmarking and Characterization of Quantum Computers
Practical Introduction to Benchmarking and Characterization of Quantum Computers Open
Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quant…
View article: Enhancing quantum noise characterization via extra energy levels
Enhancing quantum noise characterization via extra energy levels Open
Noise is a major challenge for building practical quantum computing systems. Precise characterization of quantum noise is crucial for developing effective error mitigation and correction schemes. However, state preparation and measurement …
View article: Kerr-cat Qubit Operations Below the Fault-tolerant Threshold
Kerr-cat Qubit Operations Below the Fault-tolerant Threshold Open
The ubiquitous noise in quantum system hinders the advancement of quantum information processing and has driven the emergence of different quantum error correction protocols. Among them, quantum error correction codes tailored for noise-bi…
View article: Heisenberg-limited calibration of entangling gates with robust phase estimation
Heisenberg-limited calibration of entangling gates with robust phase estimation Open
The calibration of high-quality two-qubit entangling gates is an essential component in engineering large-scale, fault-tolerant quantum computers. However, many standard calibration techniques are based on randomized circuits that are only…
View article: Quasiprobabilistic Readout Correction of Midcircuit Measurements for Adaptive Feedback via Measurement Randomized Compiling
Quasiprobabilistic Readout Correction of Midcircuit Measurements for Adaptive Feedback via Measurement Randomized Compiling Open
Quantum measurements are a fundamental component of quantum computing. However, on present-day quantum computers, measurements can be more error prone than quantum gates and are susceptible to nonunital errors as well as nonlocal correlati…
View article: AC/DC: Automated Compilation for Dynamic Circuits
AC/DC: Automated Compilation for Dynamic Circuits Open
Dynamic quantum circuits incorporate mid-circuit measurements and feed-forward operations originally intended to realize Quantum Error Correction. This paradigm has recently been utilized to prepare certain states and long-range entangling…
View article: Quantum Benchmarking of High-Fidelity Noise-Biased Operations on a Detuned-Kerr-Cat Qubit
Quantum Benchmarking of High-Fidelity Noise-Biased Operations on a Detuned-Kerr-Cat Qubit Open
Ubiquitous noises in quantum systems remain a key obstacle to building quantum computers, necessitating the use of quantum error correction codes. Recently, error-correcting codes tailored for noise-biased systems have been shown to offer …
View article: Extending the computational reach of a superconducting qutrit processor
Extending the computational reach of a superconducting qutrit processor Open
Quantum computing with qudits is an emerging approach that exploits a larger, more connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits ar…
View article: Hardware-Assisted Parameterized Circuit Execution
Hardware-Assisted Parameterized Circuit Execution Open
Standard compilers for quantum circuits decompose arbitrary single-qubit gates into a sequence of physical X(pi/2) pulses and virtual-Z phase gates. Consequently, many circuit classes implement different logic operations but have an equiva…
View article: Empowering a qudit-based quantum processor by traversing the dual bosonic ladder
Empowering a qudit-based quantum processor by traversing the dual bosonic ladder Open
View article: Efficiently improving the performance of noisy quantum computers
Efficiently improving the performance of noisy quantum computers Open
Using near-term quantum computers to achieve a quantum advantage requires efficient strategies to improve the performance of the noisy quantum devices presently available. We develop and experimentally validate two efficient error mitigati…
View article: ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements
ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements Open
Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, identifying quantum state has been the slowest and most suscept…
View article: Effective Quantum Resource Optimization via Circuit Resizing in BQSKit
Effective Quantum Resource Optimization via Circuit Resizing in BQSKit Open
In the noisy intermediate-scale quantum era, mid-circuit measurement and reset operations facilitate novel circuit optimization strategies by reducing a circuit's qubit count in a method called resizing. This paper introduces two such algo…
View article: Hardware-Efficient Randomized Compiling
Hardware-Efficient Randomized Compiling Open
Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels. However, the standard procedure for implementing the protocol in software comes with a large experimental overhead --…
View article: Distributed Architecture for FPGA-based Superconducting Qubit Control
Distributed Architecture for FPGA-based Superconducting Qubit Control Open
Quantum circuits utilizing real time feedback techniques (such as active reset and mid-circuit measurement) are a powerful tool for NISQ-era quantum computing. Such techniques are crucial for implementing error correction protocols, and ca…
View article: Average circuit eigenvalue sampling on NISQ devices
Average circuit eigenvalue sampling on NISQ devices Open
Average circuit eigenvalue sampling (ACES) was introduced by Flammia in arXiv:2108.05803 as a protocol to characterize the Pauli error channels of individual gates across the device simultaneously. The original paper posed using ACES to ch…
View article: Programmable Heisenberg interactions between Floquet qubits
Programmable Heisenberg interactions between Floquet qubits Open
View article: Empowering high-dimensional quantum computing by traversing the dual bosonic ladder
Empowering high-dimensional quantum computing by traversing the dual bosonic ladder Open
High-dimensional quantum information processing has emerged as a promising avenue to transcend hardware limitations and advance the frontiers of quantum technologies. Harnessing the untapped potential of the so-called qudits necessitates t…
View article: Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling
Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling Open
Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to non-unital errors as well as non-local correla…
View article: Powerful Quantum Circuit Resizing with Resource Efficient Synthesis
Powerful Quantum Circuit Resizing with Resource Efficient Synthesis Open
In the noisy intermediate-scale quantum era, mid-circuit measurement and reset operations facilitate novel circuit optimization strategies by reducing a circuit's qubit count in a method called resizing. This paper introduces two such algo…
View article: Demonstrating Scalable Randomized Benchmarking of Universal Gate Sets
Demonstrating Scalable Randomized Benchmarking of Universal Gate Sets Open
Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal gate set. Here, we …
View article: Benchmarking quantum logic operations relative to thresholds for fault tolerance
Benchmarking quantum logic operations relative to thresholds for fault tolerance Open
Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error correction are given in terms of worst-case error rates—defi…
View article: Demonstration of a quantum-classical coprocessing protocol for simulating nuclear reactions
Demonstration of a quantum-classical coprocessing protocol for simulating nuclear reactions Open
Quantum computers hold great promise for exact simulations of nuclear dynamical processes (e.g., scattering and reactions), which are paramount to the study of nuclear matter at the limit of stability and in the formation of chemical eleme…
View article: Superstaq: Deep Optimization of Quantum Programs
Superstaq: Deep Optimization of Quantum Programs Open
We describe Superstaq, a quantum software platform that optimizes the execution of quantum programs by tailoring to underlying hardware primitives. For benchmarks such as the Bernstein-Vazirani algorithm and the Qubit Coupled Cluster chemi…
View article: Driving Iron plasmas to stellar core conditions using extreme x-ray radiation
Driving Iron plasmas to stellar core conditions using extreme x-ray radiation Open
We report here on experiments where we have created and diagnosed exactly solid-density iron plasmas at temperatures in excess of 10 million Kelvin (～ 1 keV) and electron densities greater than 2×10 24 cm −3 . This has been achieved by foc…
View article: Extending the Computational Reach of a Superconducting Qutrit Processor
Extending the Computational Reach of a Superconducting Qutrit Processor Open
Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits ar…
View article: A quantum-classical co-processing protocol towards simulating nuclear reactions on contemporary quantum hardware
A quantum-classical co-processing protocol towards simulating nuclear reactions on contemporary quantum hardware Open
Quantum computers hold great promise for arriving at exact simulations of nuclear dynamical processes (e.g., scattering and reactions) that are paramount to the study of nuclear matter at the limit of stability and to explaining the format…
View article: Programmable Heisenberg interactions between Floquet qubits
Programmable Heisenberg interactions between Floquet qubits Open
The fundamental trade-off between robustness and tunability is a central challenge in the pursuit of quantum simulation and fault-tolerant quantum computation. In particular, many emerging quantum architectures are designed to achieve high…
View article: Random-Access Quantum Memory Using Chirped Pulse Phase Encoding
Random-Access Quantum Memory Using Chirped Pulse Phase Encoding Open
As in conventional computing, memories for quantum information benefit from high storage density and, crucially, random access, or the ability to read from or write to an arbitrarily chosen register. However, achieving such random access w…