Publications (35)
Optimized fermionic SWAP networks with equivalent circuit averaging for QAOA
Akel Hashim, Rich Rines, Victory Omole +6
The fermionic SWAP network is a qubit routing sequence that can be used to efficiently execute the Quantum Approximate Optimization Algorithm (QAOA). Even with a minimally-connecte…
Average circuit eigenvalue sampling on NISQ devices
Emilio Pelaez, Victory Omole, Pranav Gokhale +4
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 devic…
Leveraging Randomized Compiling for the QITE Algorithm
Jean-Loup Ville, Alexis Morvan, Akel Hashim +13
The success of the current generation of Noisy Intermediate-Scale Quantum (NISQ) hardware shows that quantum hardware may be able to tackle complex problems even without error corr…
Benchmarking quantum logic operations relative to thresholds for fault tolerance
Akel Hashim, Stefan Seritan, Timothy Proctor +6
Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error c…
Hardware-Efficient Randomized Compiling
Neelay Fruitwala, Akel Hashim, Abhi D. Rajagopala +7
Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels. However, the standard procedure for implementing the proto…
Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback
Akel Hashim, Ming Yuan, Pranav Gokhale +8
Quantum entanglement is one of the primary features which distinguishes quantum computers from classical computers. In gate-based quantum computing, the creation of entangled state…
Random-access quantum memory using chirped pulse phase encoding
James O'Sullivan, Oscar W. Kennedy, Kamanasish Debnath +9
As in conventional computing, key attributes of quantum memories are high storage density and, crucially, random access, or the ability to read from or write to an arbitrarily chos…
Time-series based quantum state discrimination
Samuel Jung, Neel Vora, Akel Hashim +2
Accurate quantum state readout is crucial for error correction and algorithms, but measurement errors are detrimental. Readout fidelity is typically limited by a poor signal-to-noi…
A Practical Introduction to Benchmarking and Characterization of Quantum Computers
Akel Hashim, Long B. Nguyen, Noah Goss +16
Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthr…
Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling
Akel Hashim, Arnaud Carignan-Dugas, Larry Chen +6
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 su…
Empowering high-dimensional quantum computing by traversing the dual bosonic ladder
Long B. Nguyen, Noah Goss, Karthik Siva +6
High-dimensional quantum information processing has emerged as a promising avenue to transcend hardware limitations and advance the frontiers of quantum technologies. Harnessing th…
Superstaq: Deep Optimization of Quantum Programs
Colin Campbell, Frederic T. Chong, Denny Dahl +21
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 Berns…
Enhancing quantum noise characterization via extra energy levels
Senrui Chen, Akel Hashim, Noah Goss +3
Noise is a major challenge for building practical quantum computing systems. Precise characterization of quantum noise is crucial for developing effective error mitigation and corr…
Easier randomizing gates provide more accurate fidelity estimation
Debankan Sannamoth, Kristine Boone, Arnaud Carignan-Dugas +4
Accurate benchmarking of quantum gates is crucial for understanding and enhancing the performance of quantum hardware. A standard method for this is interleaved benchmarking, a tec…
Quantum Benchmarking of High-Fidelity Noise-Biased Operations on a Detuned-Kerr-Cat Qubit
Bingcheng Qing, Ahmed Hajr, Ke Wang +19
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…
ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements
Neel R. Vora, Yilun Xu, Akel Hashim +11
Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, iden…
Efficiently improving the performance of noisy quantum computers
Samuele Ferracin, Akel Hashim, Jean-Loup Ville +7
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 devel…
Programmable Heisenberg interactions between Floquet qubits
Long B. Nguyen, Yosep Kim, Akel Hashim +9
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…
A Qutrit Time Crystal Stabilized with Native Chiral Interactions
Noah Goss, Nishchay Suri, Brian Marinelli +11
Periodically driven quantum many-body systems can spontaneously break discrete time-translation symmetry, realizing discrete time crystals. To date, both experimental and theoretic…
Extending the Computational Reach of a Superconducting Qutrit Processor
Noah Goss, Samuele Ferracin, Akel Hashim +5
Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simu…
Quantum-tailored machine-learning characterization of a superconducting qubit
Ãlie Genois, Jonathan A. Gross, Agustin Di Paolo +5
Machine learning (ML) is a promising approach for performing challenging quantum-information tasks such as device characterization, calibration and control. ML models can train dir…
Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography
Kenneth Rudinger, Craig W. Hogle, Ravi K. Naik +11
Crosstalk is a leading source of failure in multiqubit quantum information processors. It can arise from a wide range of disparate physical phenomena, and can introduce subtle corr…
Demonstrating scalable randomized benchmarking of universal gate sets
Jordan Hines, Marie Lu, Ravi K. Naik +12
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…
The Phase-Contrast Imaging Instrument at the Matter in Extreme Conditions Endstation at LCLS
Bob Nagler, Andreas Schropp, Eric C. Galtier +13
We describe the Phase-Contrast Imaging instrument at the Matter in Extreme Conditions (MEC) endstation of the Linac Coherent Light Source. The instrument can image phenomena with a…
Distributed Architecture for FPGA-based Superconducting Qubit Control
Neelay Fruitwala, Gang Huang, Yilun Xu +6
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…
Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor
Akel Hashim, Ravi K. Naik, Alexis Morvan +11
The successful implementation of algorithms on quantum processors relies on the accurate control of quantum bits (qubits) to perform logic gate operations. In this era of noisy int…
AC/DC: Automated Compilation for Dynamic Circuits
Siyuan Niu, Efekan Kokcu, Anupam Mitra +6
Dynamic quantum circuits incorporate mid-circuit measurements and feed-forward operations originally intended to realize Quantum Error Correction. This paradigm has recently been u…
Understanding Quantum Instruments
Akel Hashim
The quantum instrument (QI) formalism is required to model mid-circuit measurements (MCMs) and the dependence of the post-measurement state on the measurement outcome. Correctly mo…
Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing
Hyunseong Kim, Gyunghyun Jang, Seungwon Jin +8
The Josephson junction is the fundamental nonlinear building block of superconducting quantum technologies. Its macroscopic quantum tunneling physics underpins superconducting quan…
Summary: Chicago Quantum Exchange (CQE) Pulse-level Quantum Control Workshop
Kaitlin N. Smith, Gokul Subramanian Ravi, Thomas Alexander +14
Quantum information processing holds great promise for pushing beyond the current frontiers in computing. Specifically, quantum computation promises to accelerate the solving of ce…
A quantum-classical co-processing protocol towards simulating nuclear reactions on contemporary quantum hardware
Francesco Turro, Trevor Chistolini, Akel Hashim +8
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 ma…
Powerful Quantum Circuit Resizing with Resource Efficient Synthesis
Siyuan Niu, Akel Hashim, Costin Iancu +2
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…
Hardware-Efficient Microwave-Activated Tunable Coupling Between Superconducting Qubits
Bradley K. Mitchell, Ravi K. Naik, Alexis Morvan +7
Generating high-fidelity, tunable entanglement between qubits is crucial for realizing gate-based quantum computation. In superconducting circuits, tunable interactions are often i…
Heisenberg-limited calibration of entangling gates with robust phase estimation
Kenneth Rudinger, J. P. Marceaux, Akel Hashim +3
The calibration of high-quality two-qubit entangling gates is an essential component in engineering large-scale, fault-tolerant quantum computers. However, many standard calibratio…
Hardware-Assisted Parameterized Circuit Execution
Abhi D. Rajagopala, Akel Hashim, Neelay Fruitwala +6
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 clas…