247 citations · 1.6k across the 40 of their papers we have counts for
14 papers · 1 filter
QGo: Scalable Quantum Circuit Optimization Using Automated Synthesis
Xin-Chuan Wu, Marc Grau Davis, Frederic T. Chong +1
The current phase of quantum computing is in the Noisy Intermediate-Scale Quantum (NISQ) era. On NISQ devices, two-qubit gates such as CNOTs are much noisier than single-qubit gate…
TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture
Xin-Chuan Wu, Dripto M. Debroy, Yongshan Ding +4
Trapped-ion qubits are a leading technology for practical quantum computing. In this work, we present an architectural analysis of a linear-tape architecture for trapped ions. In o…
Resource-Efficient Quantum Computing by Breaking Abstractions
Yunong Shi, Pranav Gokhale, Prakash Murali +11
Building a quantum computer that surpasses the computational power of its classical counterpart is a great engineering challenge. Quantum software optimizations can provide an acce…
Adaptive Circuit Learning for Quantum Metrology
Ziqi Ma, Pranav Gokhale, Tian-Xing Zheng +5
Quantum sensing is an important application of emerging quantum technologies. We explore whether a hybrid system of quantum sensors and quantum circuits can surpass the classical l…
Virtualized Logical Qubits: A 2.5D Architecture for Error-Corrected Quantum Computing
Casey Duckering, Jonathan M. Baker, David I. Schuster +1
Current, near-term quantum devices have shown great progress in recent years culminating with a demonstration of quantum supremacy. In the medium-term, however, quantum machines wi…
Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation
Yongshan Ding, Pranav Gokhale, Sophia Fuhui Lin +3
One of the key challenges in current Noisy Intermediate-Scale Quantum (NISQ) computers is to control a quantum system with high-fidelity quantum gates. There are many reasons a qua…
Quantum Fan-out: Circuit Optimizations and Technology Modeling
Pranav Gokhale, Samantha Koretsky, Shilin Huang +4
Instruction scheduling is a key compiler optimization in quantum computing, just as it is for classical computing. Current schedulers optimize for data parallelism by allowing simu…
Time-Sliced Quantum Circuit Partitioning for Modular Architectures
Jonathan M. Baker, Casey Duckering, Alexander Hoover +1
Current quantum computer designs will not scale. To scale beyond small prototypes, quantum architectures will likely adopt a modular approach with clusters of tightly connected qua…
Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse
Pranav Gokhale, Ali Javadi-Abhari, Nathan Earnest +2
Quantum computers are traditionally operated by programmers at the granularity of a gate-based instruction set. However, the actual device-level control of a quantum computer is pe…
Coreset Clustering on Small Quantum Computers
Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz +1
Many quantum algorithms for machine learning require access to classical data in superposition. However, for many natural data sets and algorithms, the overhead required to load th…
NISQ+: Boosting quantum computing power by approximating quantum error correction
Adam Holmes, Mohammad Reza Jokar, Ghasem Pasandi +3
Quantum computers are growing in size, and design decisions are being made now that attempt to squeeze more computation out of these machines. In this spirit, we design a method to…
SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation
Yongshan Ding, Xin-Chuan Wu, Adam Holmes +4
Compiling high-level quantum programs to machines that are size constrained (i.e. limited number of quantum bits) and time constrained (i.e. limited number of quantum operations) i…
Efficient Quantum Circuit Decompositions via Intermediate Qudits
Jonathan M. Baker, Casey Duckering, Frederic T. Chong
Many quantum algorithms make use of ancilla, additional qubits used to store temporary information during computation, to reduce the total execution time. Quantum computers will be…
Term Grouping and Travelling Salesperson for Digital Quantum Simulation
Kaiwen Gui, Teague Tomesh, Pranav Gokhale +4
Digital simulation of quantum dynamics by evaluating the time evolution of a Hamiltonian is the initially proposed application of quantum computing. The large number of quantum gat…