548 citations · 1.3k across the 20 of their papers we have counts for
20 papers
Driving Exchange Interaction in Spin Qubits with Quasi-Zero Pulses
Julian D. Teske, Remy L. Delva, Shobhan Kulshreshtha +6
The implementation of high-fidelity quantum gates for spin qubits requires accurate control of exchange interactions between electrons confined in quantum dots, but pulse distortio…
Heterogeneous architectures enable a 138x reduction in physical qubit requirements for fault-tolerant quantum computing under detailed accounting
Pranav S. Mundada, Aleksei Khindanov, Yulun Wang +5
Quantum computer hardware is predicted to scale over hundreds of thousands of qubits coming online in the next decade. Despite significant theoretical and experimental QEC progress…
No need to calibrate: characterization and compilation for high-fidelity circuit execution using imperfect gates
Ashish Kakkar, Samuel Marsh, Yulun Wang +5
We propose and validate on real quantum computing hardware a new method for extended two-qubit gate set design, replacing iterative, fine calibration with fast characterization of…
Automated discovery of heralded ballistic graph state generators for fusion-based photonic quantum computation
Gavin S. Hartnett, Dave Kielpinski, Smarak Maity +3
Designing photonic circuits that prepare graph states with high fidelity and success probability is a central challenge in linear optical quantum computing. Existing approaches rel…
Achieving computational gains with quantum error-correction primitives: Generation of long-range entanglement enhanced by error detection
Haoran Liao, Gavin S. Hartnett, Ashish Kakkar +5
The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despit…
Integrated error-suppressed pipeline for quantum optimization of nontrivial binary combinatorial optimization problems on gate-model hardware at the 156-qubit scale
Natasha Sachdeva, Gavin S. Hartnett, Smarak Maity +12
We introduce a novel hybrid quantum-classical variational optimization method for unconstrained binary combinatorial optimization problems on gate-model quantum computers, integrat…
Learning to rank quantum circuits for hardware-optimized performance enhancement
Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada +3
We introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits based on expected performance estimates derived from a traini…
Quantum Algorithm Exploration using Application-Oriented Performance Benchmarks
Thomas Lubinski, Joshua J. Goings, Karl Mayer +11
The QED-C suite of Application-Oriented Benchmarks provides the ability to gauge performance characteristics of quantum computers as applied to real-world applications. Its benchma…
Data needs and challenges for quantum dot devices automation
Justyna P. Zwolak, Jacob M. Taylor, Reed W. Andrews +17
Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However,…
Let Each Quantum Bit Choose Its Basis Gates
Sophia Fuhui Lin, Sara Sussman, Casey Duckering +5
Near-term quantum computers are primarily limited by errors in quantum operations (or gates) between two quantum bits (or qubits). A physical machine typically provides a set of ba…
Experimental benchmarking of an automated deterministic error suppression workflow for quantum algorithms
Pranav S. Mundada, Aaron Barbosa, Smarak Maity +8
Excitement about the promise of quantum computers is tempered by the reality that the hardware remains exceptionally fragile and error-prone, forming a bottleneck in the developmen…
Accurate methods for the analysis of strong-drive effects in parametric gates
Alexandru Petrescu, Camille Le Calonnec, Catherine Leroux +6
The ability to perform fast, high-fidelity entangling gates is an important requirement for a viable quantum processor. In practice, achieving fast gates often comes with the penal…
Experimental Deep Reinforcement Learning for Error-Robust Gateset Design on a Superconducting Quantum Computer
Yuval Baum, Mirko Amico, Sean Howell +6
Quantum computers promise tremendous impact across applications -- and have shown great strides in hardware engineering -- but remain notoriously error prone. Careful design of low…
Floquet-engineered enhancement of coherence times in a driven fluxonium qubit
Pranav S. Mundada, András Gyenis, Ziwen Huang +2
We use the quasienergy structure that emerges when a fluxonium superconducting circuit is driven periodically to encode quantum information with dynamically induced flux-insensitiv…
Engineering Dynamical Sweet Spots to Protect Qubits from 1/ Noise
Ziwen Huang, Pranav S. Mundada, András Gyenis +3
Protecting superconducting qubits from low-frequency noise is essential for advancing superconducting quantum computation. Based on the application of a periodic drive field, we de…
New material platform for superconducting transmon qubits with coherence times exceeding 0.3 milliseconds
Alex P. M. Place, Lila V. H. Rodgers, Pranav Mundada +15
The superconducting transmon qubit is a leading platform for quantum computing and quantum science. Building large, useful quantum systems based on transmon qubits will require sig…
Experimental realization of an intrinsically error-protected superconducting qubit
Andras Gyenis, Pranav S. Mundada, Agustin Di Paolo +6
Encoding a qubit in logical quantum states with wavefunctions characterized by disjoint support and robust energies can offer simultaneous protection against relaxation and pure de…
Robust and efficient algorithms for high-dimensional black-box quantum optimization
Zhaoqi Leng, Pranav Mundada, Saeed Ghadimi +1
Hybrid quantum-classical optimization using near-term quantum technology is an emerging direction for exploring quantum advantage in high-dimensional systems. However, precise char…
Universal gates for protected superconducting qubits using optimal control
Mohamed Abdelhafez, Brian Baker, Andras Gyenis +4
We employ quantum optimal control theory to realize quantum gates for two protected superconducting circuits: the heavy-fluxonium qubit and the 0- qubit. Utilizing automatic dif…
Suppression of Qubit Crosstalk in a Tunable Coupling Superconducting Circuit
Pranav S. Mundada, Gengyan Zhang, Thomas Hazard +1
Parasitic crosstalk in superconducting quantum devices is a leading limitation for quantum gates. We demonstrate the suppression of static ZZ crosstalk in a two-qubit, two-coupler…