Emerging Technologies

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New submissions for Wed, 15 May 24

[1]  arXiv:2405.08120 [pdf, other]

Title: From Questions to Insightful Answers: Building an Informed Chatbot for University Resources

Authors: Subash Neupane, Elias Hossain, Jason Keith, Himanshu Tripathi, Farbod Ghiasi, Noorbakhsh Amiri Golilarz, Amin Amirlatifi, Sudip Mittal, Shahram Rahimi

Subjects: Emerging Technologies (cs.ET); Artificial Intelligence (cs.AI)

This paper presents BARKPLUG V.2, a Large Language Model (LLM)-based chatbot system built using Retrieval Augmented Generation (RAG) pipelines to enhance the user experience and access to information within academic settings.The objective of BARKPLUG V.2 is to provide information to users about various campus resources, including academic departments, programs, campus facilities, and student resources at a university setting in an interactive fashion. Our system leverages university data as an external data corpus and ingests it into our RAG pipelines for domain-specific question-answering tasks. We evaluate the effectiveness of our system in generating accurate and pertinent responses for Mississippi State University, as a case study, using quantitative measures, employing frameworks such as Retrieval Augmented Generation Assessment(RAGAS). Furthermore, we evaluate the usability of this system via subjective satisfaction surveys using the System Usability Scale (SUS). Our system demonstrates impressive quantitative performance, with a mean RAGAS score of 0.96, and experience, as validated by usability assessments.

Cross-lists for Wed, 15 May 24

[2]  arXiv:2207.14006 (cross-list from quant-ph) [pdf, other]

Title: Dynamics of qudit gates and effects of spectator modes on optimal control pulses

Authors: A. Barış Özgüler, Joshua A. Job

Comments: 6 pages, 1 figure. Published in Physical Review A

Journal-ref: Phys. Rev. A 109, 052404 (2024)

Subjects: Quantum Physics (quant-ph); Emerging Technologies (cs.ET)

Qudit gates for high-dimensional quantum computing can be synthesized with high precision using numerical quantum optimal control techniques. Large circuits are broken down into modules and the tailored pulses for each module can be used as primitives for a qudit compiler. Application of the pulses of each module in the presence of extra modes may decrease their effectiveness due to crosstalk. In this paper, we address this problem by simulating qudit dynamics for circuit quantum electrodynamics (cQED) systems. As a test case, we take pulses for single-qudit SWAP gates optimized in isolation and then apply them in the presence of spectator modes each of which are in Fock states. We provide an experimentally relevant scaling formula that can be used as a bound on the fidelity decay. Our results show that frequency shift from spectator mode populations has to be $\lesssim 0.1\%$ of the qudit's nonlinearity in order for high-fidelity single-qudit gates to be useful in the presence of occupied spectator modes.

[3]  arXiv:2405.08068 (cross-list from quant-ph) [pdf, other]

Title: An Abstract Model and Efficient Routing for Logical Entangling Gates on Zoned Neutral Atom Architectures

Authors: Yannick Stade, Ludwig Schmid, Lukas Burgholzer, Robert Wille

Comments: 12 pages, 19 figures

Subjects: Quantum Physics (quant-ph); Emerging Technologies (cs.ET)

Recent experimental achievements have demonstrated the potential of neutral atom architectures for fault-tolerant quantum computing. These architectures feature the dynamic rearrangement of atoms during computation, enabling nearly arbitrary two-dimensional rearrangements. Additionally, they employ a zoned layout with dedicated regions for entangling, storage, and readout. This architecture requires design automation software that efficiently compiles quantum circuits to this hardware and takes care that atoms are in the right place at the right time. In this paper, we initiate this line of work by providing, (1) an abstract model of the novel architecture and, (2) an efficient solution to the routing problem of entangling gates. By this, we aim to maximize the parallelism of entangling gates and minimize the overhead caused by the routing of atoms between zones. In addition to that, we keep the realm of fault-tolerant quantum computing in mind and consider logical qubit arrays, each of which encodes one logical qubit. We implemented the proposed idea as a tool called NALAC and demonstrated its effectiveness and efficiency by showing that it can significantly reduce the routing overhead of logical entangling gates compared to the naive approach. As part of the Munich Quantum Toolkit (MQT), NALAC is publicly available as open-source at https://github.com/cda-tum/mqt-qmap.

[4]  arXiv:2405.08810 (cross-list from quant-ph) [pdf, other]

Title: Quantum computing with Qiskit

Authors: Ali Javadi-Abhari, Matthew Treinish, Kevin Krsulich, Christopher J. Wood, Jake Lishman, Julien Gacon, Simon Martiel, Paul D. Nation, Lev S. Bishop, Andrew W. Cross, Blake R. Johnson, Jay M. Gambetta

Subjects: Quantum Physics (quant-ph); Emerging Technologies (cs.ET)

We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development, and examine the software architecture and its core components. We demonstrate an end-to-end workflow for solving a problem in condensed matter physics on a quantum computer that serves to highlight some of Qiskit's capabilities, for example the representation and optimization of circuits at various abstraction levels, its scalability and retargetability to new gates, and the use of quantum-classical computations via dynamic circuits. Lastly, we discuss some of the ecosystem of tools and plugins that extend Qiskit for various tasks, and the future ahead.

Replacements for Wed, 15 May 24

[5]  arXiv:2312.06446 (replaced) [pdf, other]

Title: Measurement-driven neural-network training for integrated magnetic tunnel junction arrays

Authors: William A. Borders, Advait Madhavan, Matthew W. Daniels, Vasileia Georgiou, Martin Lueker-Boden, Tiffany S. Santos, Patrick M. Braganca, Mark D. Stiles, Jabez J. McClelland, Brian D. Hoskins

Comments: 17 pages, 9 figures

Subjects: Emerging Technologies (cs.ET); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Applied Physics (physics.app-ph)

[6]  arXiv:2405.07266 (replaced) [pdf, other]

Title: Architecture-Level Modeling of Photonic Deep Neural Network Accelerators

Authors: Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze

Comments: Published at ISPASS 2024

Subjects: Emerging Technologies (cs.ET); Hardware Architecture (cs.AR)

[7]  arXiv:2401.17734 (replaced) [pdf, other]

Title: Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures

Authors: Kristian Hinnenthal, David Liedtke, Christian Scheideler

Comments: 27 pages, 8 figures; fixed typos in Observation 1

Subjects: Data Structures and Algorithms (cs.DS); Emerging Technologies (cs.ET)

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