S.Q.U.I.D 2023
Symposium on Quantum Undergraduate Inquiry & Discovery
First-ever global quantum research conference for undergraduates — by undergraduates. Together with other student-run quantum computing organizations around the world, join us for a virtual weekend of project presentations, panel sessions, and networking events.
Quantum Coalition
Conference Sponsors
1-Qubit
10-Qubit
Other Partners
100-Qubit
S.Q.U.I.D. 2023
<<<Dive into all the Research Presentations >>>
Universities
SQUID was an absolutely extraordinary event that showcased the immense talent and brilliance of young scholars. We brought together undergraduate researchers from diverse fields across the globe, creating a remarkable platform for sharing knowledge, innovation, and inspiration from undergraduates. The conference not only highlighted the incredible potential of undergraduate researchers but also served as a launchpad for future advancements in quantum information sciences.
<Case Western Research University>
Virtual Quantum Optics Experiments
Caden Kacmarynski
<Izmir Institute of Technology>
Long Distance Free-Space Quantum Key Distribution using Weak Coherent Pulses
Özgür Öztürk
<Princeton University>
Topological Quantum Computation using Bilayer Graphene
Amir Mohammadi
Finding a Protected Opening for the Generalized Flux Qubit Composed of Superconducting Nonlinear Asymmetric Inductive eLement(SNAIL)
Inci Karaaslan
<The University of Maryland>
Hybrid Classical-Quantum Transfer Learning for Breast Cancer Classification
Skylar Chan, Adam Levav
Equal Superposition of Any N States
Mark Levin
<University of California, Berkeley>
Quantum LDPC Codes and the Decoding Problem
Samyak Surti
<University of California, Davis>
Quangry Cats: A Paws on Exploration of Quantum Information Science
Alexander Yue, Eliana Mann, Andrew Stephens
Beating the Odds: Leveraging Blackjack to Decode Quantum Computing
Liam Hoffman, Zbynka Kekula, Tim Linke
<University of California, Los Angeles>
Auditing the Societal Impact and Viability of Near-Term Quantum Algorithms
Liam Hoffman, Zbynka Kekula, Tim Linke
Quantum Algorithms for Multi-scale Modeling and Genomic Analysis in Biocomputing
Celine Shaw
<University of California, Irvine>
Variational Quantum Convolutional Neural Network for Image Recognition to Determine Steering Angle for Autonomous Vehicles
Diptanshu Sikdar, Rohit Ganti, Stewart Smith, Arya Mhaiskar
<University of California, San Diego>
Better Variational Quantum Circuits: Ansatz Optimization using a Genetic Algorithm
Thomas Sievert