296 citations · 1.6k across the 31 of their papers we have counts for
32 papers
Derivative Pricing using Quantum Signal Processing
Nikitas Stamatopoulos, William J. Zeng
Pricing financial derivatives on quantum computers typically includes quantum arithmetic components which contribute heavily to the quantum resources required by the corresponding…
Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation
Elijah Pelofske, Vincent Russo, Ryan LaRose +5
Quantum Volume is a full-stack benchmark for near-term quantum computers. It quantifies the largest size of a square circuit which can be executed on the target device with reasona…
Zero noise extrapolation on logical qubits by scaling the error correction code distance
Misty A. Wahl, Andrea Mari, Nathan Shammah +2
In this work, we migrate the quantum error mitigation technique of Zero-Noise Extrapolation (ZNE) to fault-tolerant quantum computing. We employ ZNE on logically encoded qubits rat…
Exact and approximate simulation of large quantum circuits on a single GPU
Daniel Strano, Benn Bollay, Aryan Blaauw +3
We benchmark the performances of Qrack, an open-source software library for the high-performance classical simulation of (gate-model) quantum computers. Qrack simulates, in the Sch…
Hardware optimized parity check gates for superconducting surface codes
Matthew J. Reagor, Thomas C. Bohdanowicz, David Rodriguez Perez +2
Error correcting codes use multi-qubit measurements to realize fault-tolerant quantum logic steps. In fact, the resources needed to scale-up fault-tolerant quantum computing hardwa…
End-to-end resource analysis for quantum interior point methods and portfolio optimization
Alexander M. Dalzell, B. David Clader, Grant Salton +8
We study quantum interior point methods (QIPMs) for second-order cone programming (SOCP), guided by the example use case of portfolio optimization (PO). We provide a complete quant…
A Q# Implementation of a Quantum Lookup Table for Quantum Arithmetic Functions
Rajiv Krishnakumar, Mathias Soeken, Martin Roetteler +1
In this paper, we present Q# implementations for arbitrary single-variabled fixed-point arithmetic operations for a gate-based quantum computer based on lookup tables (LUTs). In ge…
Automated quantum error mitigation based on probabilistic error reduction
Benjamin McDonough, Andrea Mari, Nathan Shammah +4
Current quantum computers suffer from a level of noise that prohibits extracting useful results directly from longer computations. The figure of merit in many near-term quantum alg…
Testing platform-independent quantum error mitigation on noisy quantum computers
Vincent Russo, Andrea Mari, Nathan Shammah +2
We apply quantum error mitigation techniques to a variety of benchmark problems and quantum computers to evaluate the performance of quantum error mitigation in practice. To do so,…
Quantum Resources Required to Block-Encode a Matrix of Classical Data
B. David Clader, Alexander M. Dalzell, Nikitas Stamatopoulos +3
We provide modular circuit-level implementations and resource estimates for several methods of block-encoding a dense matrix of classical data to precision ; the min…
Error mitigation increases the effective quantum volume of quantum computers
Ryan LaRose, Andrea Mari, Vincent Russo +2
Quantum volume is a single-number metric which, loosely speaking, reports the number of usable qubits on a quantum computer. While improvements to the underlying hardware are a dir…
Analyzing the impact of time-correlated noise on zero-noise extrapolation
Kevin Schultz, Ryan LaRose, Andrea Mari +4
Zero-noise extrapolation is a quantum error mitigation technique that has typically been studied under the ideal approximation that the noise acting on a quantum device is not time…
Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms
Nikitas Stamatopoulos, Guglielmo Mazzola, Stefan Woerner +1
We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work has shown that quantum amplitude estimation can accelerate derivative pricing qu…
Low depth amplitude estimation on a trapped ion quantum computer
Tudor Giurgica-Tiron, Sonika Johri, Iordanis Kerenidis +6
Amplitude estimation is a fundamental quantum algorithmic primitive that enables quantum computers to achieve quadratic speedups for a large class of statistical estimation problem…
Quantum Rounding
Rajiv Krishnakumar, William Zeng
We introduce new rounding methods to improve the accuracy of finite precision quantum arithmetic. These quantum rounding methods are applicable when multiple samples are being take…
Extending quantum probabilistic error cancellation by noise scaling
Andrea Mari, Nathan Shammah, William J. Zeng
We propose a general framework for quantum error mitigation that combines and generalizes two techniques: probabilistic error cancellation (PEC) and zero-noise extrapolation (ZNE).…
A Threshold for Quantum Advantage in Derivative Pricing
Shouvanik Chakrabarti, Rajiv Krishnakumar, Guglielmo Mazzola +3
We give an upper bound on the resources required for valuable quantum advantage in pricing derivatives. To do so, we give the first complete resource estimates for useful quantum d…
Low depth algorithms for quantum amplitude estimation
Tudor Giurgica-Tiron, Iordanis Kerenidis, Farrokh Labib +2
We design and analyze two new low depth algorithms for amplitude estimation (AE) achieving an optimal tradeoff between the quantum speedup and circuit depth. For , our…
Mitiq: A software package for error mitigation on noisy quantum computers
Ryan LaRose, Andrea Mari, Sarah Kaiser +16
We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error mitigation techniques can reduce the impact of noise on near-term quantum computers with…
Digital zero noise extrapolation for quantum error mitigation
Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose +2
Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in noisy quantum computations without using additional quantum resources. We review the fu…
Unsupervised Machine Learning on a Hybrid Quantum Computer
J. S. Otterbach, R. Manenti, N. Alidoust +27
Machine learning techniques have led to broad adoption of a statistical model of computing. The statistical distributions natively available on quantum processors are a superset of…
Demonstration of Universal Parametric Entangling Gates on a Multi-Qubit Lattice
M. Reagor, C. B. Osborn, N. Tezak +56
We show that parametric coupling techniques can be used to generate selective entangling interactions for multi-qubit processors. By inducing coherent population exchange between a…
Parametrically Activated Entangling Gates Using Transmon Qubits
S. Caldwell, N. Didier, C. A. Ryan +59
We describe and implement a family of entangling gates activated by radio-frequency flux modulation applied to a tunable transmon that is statically coupled to a neighboring transm…
Generalised Mermin-type non-locality arguments
Stefano Gogioso, William Zeng
We broadly generalise Mermin-type arguments on GHZ states, and we provide exact group-theoretic conditions for non-locality to be achieved. Our results are of interest in quantum f…