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Paper 1

The Role of Community Building and Education as Key Pillar of Institutionalizing Responsible Quantum

Sanjay Vishwakarma, Vishal Sharathchandra Bajpe, Ryan Mandelbaum, Yuri Kobayashi, Olivia Lanes, Mira Luca Wolf-Bauwens

Year

2024

Journal

arXiv preprint

DOI

arXiv:2410.17285

arXiv

2410.17285

Quantum computing is an emerging technology whose positive and negative impacts on society are not yet fully known. As government, individuals, institutions, and corporations fund and develop this technology, they must ensure that they anticipate its impacts, prepare for its consequences, and steer its development in such a way that it enables the most good and prevents the most harm. However, individual stakeholders are not equipped to fully anticipate these consequences on their own it requires a diverse community that is well-informed about quantum computing and its impacts. Collaborations and community-building across domains incorporating a variety of viewpoints, especially those from stakeholders most likely to be harmed, are fundamental pillars of developing and deploying quantum computing responsibly. This paper reviews responsible quantum computing proposals and literature, highlights the challenges in implementing these, and presents strategies developed at IBM aimed at building a diverse community of users and stakeholders to support the responsible development of this technology.

Open paper

Paper 2

Quantum Simulation of Nonlinear Dynamical Systems Using Repeated Measurement

Joseph Andress, Alexander Engel, Yuan Shi, Scott Parker

Year

2024

Journal

arXiv preprint

DOI

arXiv:2410.03838

arXiv

2410.03838

We present a quantum algorithm based on repeated measurement to solve initial-value problems for nonlinear ordinary differential equations (ODEs), which may be generated from partial differential equations in plasma physics. We map a dynamical system to a Hamiltonian form, where the Hamiltonian matrix is a function of dynamical variables. To advance in time, we measure expectation values from the previous time step, and evaluate the Hamiltonian function classically, which introduces stochasticity into the dynamics. We then perform standard quantum Hamiltonian simulation over a short time, using the evaluated constant Hamiltonian matrix. This approach requires evolving an ensemble of quantum states, which are consumed each step to measure required observables. We apply this approach to the classic logistic and Lorenz systems, in both integrable and chaotic regimes. Out analysis shows that solutions' accuracy is influenced by both the stochastic sampling rate and the nature of the dynamical system.

Open paper