247 citations · 1.6k across the 40 of their papers we have counts for
43 papers · 1 filter
Practical implications of SFQ-based two-qubit gates
Mohammad Reza Jokar, Richard Rines, Frederic T. Chong
Scalability of today's superconducting quantum computers is limited due to the huge costs of generating/routing microwave control pulses per qubit from room temperature. One active…
DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic
Mohammad Reza Jokar, Richard Rines, Ghasem Pasandi +5
The control of cryogenic qubits in today's superconducting quantum computer prototypes presents significant scalability challenges due to the massive costs of generating/routing th…
VAQEM: A Variational Approach to Quantum Error Mitigation
Gokul Subramanian Ravi, Kaitlin N. Smith, Pranav Gokhale +4
Variational Quantum Algorithms (VQAs) are relatively robust to noise, but errors are still a significant detriment to VQAs on near-term quantum machines. It is imperative to employ…
Exploiting Long-Distance Interactions and Tolerating Atom Loss in Neutral Atom Quantum Architectures
Jonathan M. Baker, Andrew Litteken, Casey Duckering +3
Quantum technologies currently struggle to scale beyond moderate scale prototypes and are unable to execute even reasonably sized programs due to prohibitive gate error rates or co…
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…
Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment
Samantha Koretsky, Pranav Gokhale, Jonathan M. Baker +8
In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and app…
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Hanrui Wang, Yongshan Ding, Jiaqi Gu +5
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (NISQ) computers. Previous work for mitigating noise has primarily focused on gate-level or pulse-level noise…
Error Mitigation in Quantum Computers through Instruction Scheduling
Kaitlin N. Smith, Gokul Subramanian Ravi, Prakash Murali +4
Quantum systems have potential to demonstrate significant computational advantage, but current quantum devices suffer from the rapid accumulation of error that prevents the storage…
Orchestrated Trios: Compiling for Efficient Communication in Quantum Programs with 3-Qubit Gates
Casey Duckering, Jonathan M. Baker, Andrew Litteken +1
Current quantum computers are especially error prone and require high levels of optimization to reduce operation counts and maximize the probability the compiled program will succe…
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…
Quantum Computer Systems for Scientific Discovery
Yuri Alexeev, Dave Bacon, Kenneth R. Brown +21
The great promise of quantum computers comes with the dual challenges of building them and finding their useful applications. We argue that these two challenges should be considere…