63 citations · 350 across the 30 of their papers we have counts for
22 papers · 1 filter
PropHunt: Automated Optimization of Quantum Syndrome Measurement Circuits
Joshua Viszlai, Satvik Maurya, Swamit Tannu +2
Fault-Tolerant Quantum Computing (FTQC) relies on Quantum Error Correction (QEC) codes to reach error rates necessary for large scale quantum applications. At a physical level, QEC…
Accurate Leakage Speculation for Quantum Error Correction
Chaithanya Naik Mude, Swamit Tannu
Quantum Error Correction (QEC) protects qubits against bit- and phase-flip errors in the |0> or |1> subspace, but physical qubits can also leak into higher energy levels (e.g., |2>…
Enabling Fast and Accurate Neutral Atom Readout through Image Denoising
Chaithanya Naik Mude, Linipun Phuttitarn, Satvik Maurya +3
Neutral atom quantum computers hold promise for scaling up to hundreds of thousands or more qubits, but their progress is constrained by slow qubit readout. Parallel measurement of…
Synchronization for Fault-Tolerant Quantum Computers
Satvik Maurya, Swamit Tannu
Quantum Error Correction (QEC) codes store information reliably in logical qubits by encoding them in a larger number of less reliable qubits. The surface code, known for its high…
Efficient measurement of neutral-atom qubits with matched filters
Robert M. Kent, Linipun Phuttitarn, Chaithanya Naik Mude +4
Quantum computers require high-fidelity measurement of many qubits to achieve a quantum advantage. Traditional approaches suffer from readout crosstalk for a neutral-atom quantum p…
Iceberg Beyond the Tip: Co-Compilation of a Quantum Error Detection Code and a Quantum Algorithm
Yuwei Jin, Zichang He, Tianyi Hao +5
The rapid progress in quantum hardware is expected to make them viable tools for the study of quantum algorithms in the near term. The timeline to useful algorithmic experimentatio…
Reducing T Gates with Unitary Synthesis
Tianyi Hao, Amanda Xu, Swamit Tannu
Quantum error correction is essential for achieving practical quantum computing but has a significant computational overhead. Among fault-tolerant (FT) gate operations, non-Cliffor…
Managing Classical Processing Requirements for Quantum Error Correction
Satvik Maurya, Abtin Molavi, Aws Albarghouthi +1
Large-scale quantum computers promise transformative speedups, but their viability hinges on fast and reliable quantum error correction (QEC). At the center of QEC are decoders-cla…
Understanding Side-Channel Vulnerabilities in Superconducting Qubit Readout Architectures
Satvik Maurya, Chaithanya Naik Mude, Benjamin Lienhard +1
Frequency-multiplexing is an effective method to achieve resource-efficient superconducting qubit readout. Allowing multiple resonators to share a common feedline, the number of ca…
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion
Tianyi Hao, Zichang He, Ruslan Shaydulin +2
Variational quantum algorithms (VQAs) are a broad class of algorithms with many applications in science and industry. Applying a VQA to a problem involves optimizing a parameterize…
Efficient and Scalable Architectures for Multi-Level Superconducting Qubit Readout
Chaithanya Naik Mude, Satvik Maurya, Benjamin Lienhard +1
Realizing the full potential of quantum computing requires large-scale quantum computers capable of running quantum error correction (QEC) to mitigate hardware errors and maintain…
Exploiting many-body localization for scalable variational quantum simulation
Chenfeng Cao, Yeqing Zhou, Swamit Tannu +2
Variational quantum algorithms (VQAs) represent a promising pathway toward achieving practical quantum advantage on near-term hardware. Despite this promise, for generic, expressiv…
Dependency-Aware Compilation for Surface Code Quantum Architectures
Abtin Molavi, Amanda Xu, Swamit Tannu +1
Practical applications of quantum computing depend on fault-tolerant devices with error correction. Today, the most promising approach is a class of error-correcting codes called s…
Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
Kun Liu, Tianyi Hao, Swamit Tannu
Variational quantum algorithms (VQAs) can potentially solve practical problems using contemporary Noisy Intermediate Scale Quantum (NISQ) computers. VQAs find near-optimal solution…
COMPAQT: Compressed Waveform Memory Architecture for Scalable Qubit Control
Satvik Maurya, Swamit Tannu
On superconducting architectures, the state of a qubit is manipulated by using microwave pulses. Typically, the pulses are stored in the waveform memory and then streamed to the Di…
Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures
Satvik Maurya, Chaithanya Naik Mude, William D. Oliver +2
Reading a qubit is a fundamental operation in quantum computing. It translates quantum information into classical information enabling subsequent classification to assign the qubit…
HAMMER: boosting fidelity of noisy Quantum circuits by exploiting Hamming behavior of erroneous outcomes
Swamit Tannu, Poulami Das, Ramin Ayanzadeh +1
Quantum computers with hundreds of qubits will be available soon. Unfortunately, high device error-rates pose a significant challenge in using these near-term quantum systems to po…
Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse
Meng Wang, Swamit Tannu, Prashant J. Nair
To realize the full potential of quantum computers, we must mitigate qubit errors by developing noise-aware algorithms, compilers, and architectures. Thus, simulating quantum progr…
JigSaw: Boosting Fidelity of NISQ Programs via Measurement Subsetting
Poulami Das, Swamit Tannu, Moinuddin Qureshi
Near-term quantum computers contain noisy devices, which makes it difficult to infer the correct answer even if a program is run for thousands of trials. On current machines, qubit…
ADAPT: Mitigating Idling Errors in Qubits via Adaptive Dynamical Decoupling
Poulami Das, Swamit Tannu, Siddharth Dangwal +1
The fidelity of applications on near-term quantum computers is limited by hardware errors. In addition to errors that occur during gate and measurement operations, a qubit is susce…
EQUAL: Improving the Fidelity of Quantum Annealers by Injecting Controlled Perturbations
Ramin Ayanzadeh, Poulami Das, Swamit S. Tannu +1
Quantum computing is an information processing paradigm that uses quantum-mechanical properties to speedup computationally hard problems. Although promising, existing gate-based qu…
A Case for Variability-Aware Policies for NISQ-Era Quantum Computers
Swamit S. Tannu, Moinuddin K. Qureshi
Recently, IBM, Google, and Intel showcased quantum computers ranging from 49 to 72 qubits. While these systems represent a significant milestone in the advancement of quantum compu…