85 citations · 166 across the 39 of their papers we have counts for
41 papers
Scalable Exact Non-Pauli Noise Simulation for Fault-Tolerant Quantum Circuits
Yuewen Hou, Gokul Subramanian Ravi
Fault-tolerant quantum design relies on simulating noisy quantum error correction (QEC) circuits with hundreds to thousands of physical qubits and large circuit depths. High-throug…
Improving Join Order Optimization on Gate-Based Quantum Computers via Structured Parameter Initialization
Divya Shekar, Ruokun Wu, Dhanvi Bharadwaj +2
Join Order Optimization (JOO) is one of the most computationally expensive tasks in relational query optimization due to the exponential growth of possible join plans with increasi…
CryoZip: An Efficient Cryogenic Compressor for Quantum Error Correction Syndromes
Guanchen Tao, Alexander Knapen, Jacob Mack +4
Scaling fault tolerant quantum computing is increasingly constrained by the limited bandwidth and power budget across the 4 K to room temperature (RT) interface. We present CryoZip…
Stalls and Spequlation: Pipelined Execution for Fault Tolerant Quantum Computation
Aditi Awasthi, Gokul Subramanian Ravi, Jonathan Mark Baker
Fault-tolerant quantum computation requires the coordinated action of three distinct systems: classical control logic, quantum hardware, and classical error decoders. Current sched…
Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
Gino Kwun, Dhanvi Bharadwaj, Gokul Subramanian Ravi
Variational Quantum Algorithms (VQAs) potentially offer a pathway to practical quantum advantage, but their optimization is heavily hindered by barren plateaus and numerous local m…
Price and Payoff: Non-Determinism in Fault Tolerant Quantum Computation
Aditi Awasthi, Sayam Sethi, Sahil Khan +2
A promising approach to achieving scalable fault-tolerant quantum computation is the use of quantum error correction (QEC) codes augmented with magic states i.e. resource states pr…
C-Phase-Aware Compilation for Efficient Fault-Tolerant Quantum Execution
Dhanvi Bharadwaj, Siddharth Dangwal, Yuewen Hou +1
Achieving practical quantum advantage on fault-tolerant quantum computers (FTQC) is fundamentally constrained by the substantial spatial and temporal overheads required to map logi…
Mitigating Classical Resource Costs in Quantum Error Correction via Generalized qLDPC Predecoding
Alexander Knapen, Junyi Luo, Guanchen Tao +6
Large-scale fault-tolerant quantum computing (FTQC) will require quantum-classical interfaces (QCIs) that orchestrate real-time decoding over thousands to millions of logical qubit…
Scalable Clifford-Based Classical Initialization for the Quantum Approximate Optimization Algorithm
Dhanvi Bharadwaj, Yuewen Hou, Guang-Yi Li +1
Variational Quantum Algorithms (VQAs), such as the Quantum Approximate Optimization Algorithm (QAOA), offer a promising route to tackling combinatorial optimization problems on nea…
Computer Science Challenges in Quantum Computing: Early Fault-Tolerance and Beyond
Jens Palsberg, Jason Cong, Yufei Ding +7
Quantum computing is entering a period in which progress will be shaped as much by advances in computer science as by improvements in hardware. The central thesis of this report is…
TreeVQA: A Tree-Structured Execution Framework for Shot Reduction in Variational Quantum Algorithms
Yuewen Hou, Dhanvi Bharadwaj, Gokul Subramanian Ravi
Variational Quantum Algorithms (VQAs) are promising for near- and intermediate-term quantum computing, but their execution cost is substantial. Each task requires many iterations a…
Pinball: A Cryogenic Predecoder for Surface Code Decoding Under Circuit-Level Noise
Alexander Knapen, Guanchen Tao, Jacob Mack +5
Scaling fault tolerant quantum computers, especially cryogenic systems based on the surface code, to millions of qubits is challenging due to poorly-scaling data processing and pow…
ExtraFerm: An Extended Matchgate Simulator
Zack Hassman, Oliver Reardon-Smith, Gokul Subramanian Ravi +2
We present and open source Extraferm, a quantum circuit simulator tailored to chemistry applications. More specifically, our simulator can compute the Born-rule probabilities of sa…
Accelerating BP-based decoders for QLDPC Codes with Local Syndrome-Based Preprocessing
Wenxuan Fan, Yasunari Suzuki, Gokul Subramanian Ravi +4
Due to the high error rate of qubits, detecting and correcting errors is essential for achieving fault-tolerant quantum computing (FTQC). Quantum low-density parity-check (QLDPC) c…
Enhancing the Clique Local Decoder to Correct Length-2 Space Errors in the Surface Code
Zikang Jia, Shravan Veerapaneni, Gokul Subramanian Ravi
The growing demand for fault-tolerant quantum computing drives the need for efficient, scalable Quantum Error Correction (QEC) strategies. Conventional decoders designed for worst-…
Variational Quantum Algorithms in the era of Early Fault Tolerance
Siddharth Dangwal, Suhas Vittal, Lennart Maximillian Seifert +2
Quantum computing roadmaps predict the availability of 10,000 qubit devices within the next 3-5 years. With projected two-qubit error rates of 0.1%, these systems will enable certa…
Predictive Window Decoding for Fault-Tolerant Quantum Programs
Joshua Viszlai, Jason D. Chadwick, Sarang Joshi +3
Real-time decoding is a key ingredient in future fault-tolerant quantum systems, yet many decoders are too slow to run in real time. Prior work has shown that parallel window decod…
A Quantum Approximate Optimization Algorithm-based Decoder Architecture for NextG Wireless Channel Codes
Srikar Kasi, James Sud, Kyle Jamieson +1
Forward Error Correction (FEC) provides reliable data flow in wireless networks despite the presence of noise and interference. However, its processing demands significant fraction…
Demonstration of a CAFQA-bootstrapped Variational Quantum Eigensolver on a Trapped-Ion Quantum Computer
Qingfeng Wang, Liudmila Zhukas, Qiang Miao +5
To enhance the variational quantum eigensolver (VQE), the CAFQA method can utilize classical computational capabilities to identify a better initial state than the Hartree-Fock met…
Empowering the Quantum Cloud User with QRIO
Shmeelok Chakraborty, Yuewen Hou, Ang Chen +1
Quantum computing is moving swiftly from theoretical to practical applications, making it crucial to establish a significant quantum advantage. Despite substantial investments, acc…
Clapton: Clifford-Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms
Lennart Maximilian Seifert, Siddharth Dangwal, Frederic T. Chong +1
Variational quantum algorithms (VQAs) show potential for quantum advantage in the near term of quantum computing, but demand a level of accuracy that surpasses the current capabili…
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
Optimal Clifford Initial States for Ising Hamiltonians
Bikrant Bhattacharyya, Gokul Subramanian Ravi
Evaluating quantum circuits is currently very noisy. Therefore, developing classical bootstraps that help minimize the number of times quantum circuits have to be executed on noisy…
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms
Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi +4
This paper proposes DISQ to craft a stable landscape for VQA training and tackle the noise drift challenge. DISQ adopts a "drift detector" with a reference circuit to identify and…