Videos now on YouTube introduce Quantum Algorithms Introducing quantum computing to computer science students
UMBC graduate students in CMSC-641 Algorithms actively engage in learning quantum algorithms in the two-week unit.

A set of six videos now available on YouTube are the cornerstone of a two-week unit that introduces quantum algorithms in UMBC's core graduate course CMSC-641 Design and Analysis of Algorithms. The project was developed by Professor Alan T. Sherman and his colleagues, including Professors Sam Lomonaco (computer science) and Linda Oliva (education), with support from the Hrabowski innovation Fund and College of Engineering and Information Technology. Additional members of the team include graduate students Marc Laczin and Siddharth Chandrasekaran, and Dr. Omar Shehab (IBM), a former Ph.D. student of Dr. Lomonaco.

Using the flipped classroom, students watch the videos before coming to class prepared to engage actively programming the QUIRK quantum circuit simulator and the IBM Q quantum computer using the Qiskit software development kit. The unit was piloted at UMBC in spring 2020, spring 2021, and fall 2021.  While there are full courses in quantum computation, this effort developed a two-week unit targeted at computer science graduate students covering three quantum algorithms: Deutsch-Jozsa, Simon, and Shor.

Quantum algorithms running on quantum computers offer the potential to solve complex problems with dramatically reduced execution time and energy consumption. For example, Shor's quantum algorithm for factoring integers runs in polynomial time, faster than any known algorithm for classical computers and offers future potential to break the widely-used RSA cryptosystem. Whereas classical computers use discrete 1s and 0s to perform calculations, quantum computers use Q-bits, which involve complex numbers and can simultaneously be 0 or 1. Based on quantum physics, quantum computers operate in a strange universe that includes the curious and potentially useful effects of superposition and entanglement. In pursuit of transformative potential advantages, government and private industry are investing significantly in quantum computer technologies. All computer science students need to know about these vital emerging technologies.

Read more about this in this UMBC news story about the project. 
]]> UMBC graduate students in CMSC-641 Algorithms actively engage in learning quantum algorithms in the two-week unit. A set of six videos now available on YouTube are the cornerstone of a... https://www.youtube.com/playlist?list=PLnj_pHJHgqkVhUrYg9hLl7xis2xw4rsYe https://beta.my.umbc.edu/api/v0/pixel/news/131040/guest@my.umbc.edu/bd47b2ef2d492e720fccd66afdd5380d/api/pixel csee quantum quantum-computing umbc youtube Computer Science and Electrical Engineering https://beta.my.umbc.edu/groups/csee https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/xsmall.png?1314043393 https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/original.png?1314043393 https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/xxlarge.png?1314043393 https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/xlarge.png?1314043393 https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/large.png?1314043393 https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/medium.png?1314043393 https://assets2-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/small.png?1314043393 https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/xsmall.png?1314043393 https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/000/099/d117dca133c64bf78a4b7696dd007189/xxsmall.png?1314043393 Computer Science and Electrical Engineering 1 0 true Fri, 17 Feb 2023 15:29:39 -0500 Fri, 17 Feb 2023 16:59:27 -0500 talk: Secure Computation: From Theory to Practice, 12-1pm Oct 30
UMBC Cyber Defense Lab presents

Secure Computation: From Theory to Practice

Jonathan Katz

Computer Science Department
University of Maryland, College Park

12:00–1:00 pm EDT, Friday, 30 October 2020
Online via Webex

Protocols for secure multi-party computation (MPC) allow a collection of mutually distrusting parties to compute a function of their private inputs without revealing anything else about their inputs to each other. Secure computation was shown to be feasible 35 years ago, but only in the past decade has its efficiency been improved to the point where it has been implemented and, more recently, begun to be used. This real-world deployment of secure computation suggests new applications and raises new questions.

This talk will survey some recent work at the intersection of the theory and practice of MPC, focusing on a surprising application to the construction of Picnic, a “post-quantum” signature scheme currently under consideration by NIST for standardization.

Jonathan Katz is a faculty member in the department of computer science at the University of Maryland, College Park, where he formerly served as director of the Maryland Cybersecurity Center for over five years. He is an IACR Fellow, was named a University of Maryland distinguished scholar-teacher in 2017-2018, and received the ACM SIGSAC Outstanding Contribution Award in 2019.

Host: Alan T. Sherman, *protected email* Support for this event was provided in part by the National Science Foundation under SFS grant DGE-1753681. The UMBC Cyber Defense Lab meets biweekly Fridays 12-1pm. All meetings are open to the public.

Upcoming CDL Meetings: Nov. 13, TBA, [possibly: David R Imbordino (NSA), Security of the 2020 presidential election]; Dec. 11, TBA, [possibly: Peter A. H. Peterson (Univ. of Minnesota Duluth), Adversarial Thinking]

The post talk: Secure Computation: From Theory to Practice, 12-1pm Oct 30 appeared first on Department of Computer Science and Electrical Engineering.

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