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2022 Winners
QC HACK 2022 Winners
Amazon Braket Challenge
https://github.com/JordanAWS/amazon-braket-qc-hack-2022
The winner of the Amazon Braket challenge at QC Hack 2022 is Rohit Ganti, a Junior at UC Irvine, with his implementation of a quantum algorithm to train a Restricted Boltzmann Machine for the use case of approximating thermal statistics for and Ising model Hamiltonian. His results demonstrated accuracy within 1% of the classically calculated thermal statistics. Rohit will receive $1000 in AWS credits to continue his quantum computing research with Amazon Braket.
Winner:
Implementation of the Quantum Restricted Boltzmann Machine Neural Network Algorithm using Variational Methods
Names: Rohit Ganti
Repo:https://github.com/soundwaverohit/amazon-braket-qc-hack-2022/tree/submission
Winners:
First Place: Quantum Connect-N
Names: Fanuel Mammo, Audrey Zheng, Malick Gaye
Github Link: https://github.com/malickgaye7/QCHack-2022
Second Place: QWordl
Names: Shikha Bangar, Elias Kokkas, Rahul Soni, Evangelos Varvelis
Github Repo: https://github.com/ShikBan/Qwordle
Honorable Mentions:
Team 1: Quantum Sudoku
Names: Francesco Pinzauti, Lisa Bombieri, Tina Radkohl, Vishal Mandal, Kartik Sharma
Repo: https://github.com/Pinzauti/QCHack-2022
Team 2: Quantum Snakes and Ladders
Names: Ruihao Li, Murali Krishna, Gaurav Saxena, Adrian Harkness, Tianmin (Kevin) Kong
Repo: https://github.com/ruihao-li/QCHack-2022/tree/master/quantum_snake_ladder
IBM Quantum Challenge
Team 1: Qu-Mongus
Names: Lajos Mihai Zsisku, Yusuf Aslam, Vardaan Sahgal, Ivan Rojas, Ulviye Karya Ellibes
Repo link: https://github.com/ayu5uf/qchack2022-microsoft-challenge
Team 2: Logical qubit entanglement and error detection
Name: Matthieu Praquin
Repo link: https://github.com/MP78QC/qchack2022-microsoft-challenge
Team 3: Entanglement Teleportation and Quantum Network
Name: Wittmann Goh
Github: https://github.com/Acceleraizer/QCHack-2022
Team 4: A quantum algorithm to solve the subset sum problem
Name: Sumeet Shirgure
Repo: https://github.com/sumeetshirgure/qchack2022-microsoft-challenge
Microsoft Azure Quantum Challenge
https://github.com/quantumcoalition/qchack2022-microsoft-challenge
Intro to QC Challenges
Grover’s Search: QuantumCrew
Names: Pomirleanu Sebastian-Mihai, Istratescu Vlad, Catrina Sorana, Rotaru Iulian, Ifrim Marius
Repo Link: https://github.com/SoranaAurelia/QCHack-2022/tree/main/intro_to_qc_challenges/grovers_algorithm
Quantum Teleportation: QuantumFeed
Names: Triet Ha, K R Raghunath, Mariano Uria Valencia, Harshitta Gandhi, Nadeem Khan
Repo link: https://github.com/haatonyy/QCHack-2022
OpenQASM challenge
Team 1
Names: Ayushi Dubal. Naresh Chavan
Repo: https://github.com/ayushidubal/QCHack-2022/tree/main/openqasm_challenge
Team 2: PhysicsFeed
Names: Saaketh Rayaprolu, Violeta Kabadzhova, Nadeem Khan, Gargi Chandrakar
qBraid Challenge
qBraid is proud to sponsor this year's QCHack where participants gathered from around the world to use the qBraid platform to come up with unique solutions to the provided QC challenges. Each team had the choice of three challenges: QASM Parser, Grover's Challenge, Quantum Teleportation(https://github.com/qBraid/QCHack-2022) and had the opportunity to use qBraid SDK world's first quantum computing language transpilers which smoothly converts quantum circuits between 5 languages (Amazon Braket, Qiskit, Pennylane, Pyquil, Cirq) and submits quantum jobs with little to no provider based setup.
With each challenge the winners shined in their creativity and usage of the qBraid platform to augment their quantum computing experience. One shining example is the QuantumCrew's usage of qBraid SDK in the Grover's Challenge where they detected hamiltonian cycles in a graph. With the SDK, the team was able to supercharge their ability to submit Qiskit circuits on Braket backends and convert circuits between the two languages! Such a feat in 24 hours is truly down to the team's effort and the ease of use of the qBraid SDK.
Equally, the quantum teleportation challenge winners performed quantum teleportation using Amazon Braket and the Rigetti M-1 device as well as on IBM devices. While prior methods would require coding the quantum teleportation algorithm in both the Amazon Braket and Qiskit, with the qBraid SDK, the QuantumFeed team were able to focus their attention on extending their solution to include error estimation and multi contributor scenarios. We see great potential in their work to include results from various quantum computers provided via the qBraid SDK, Amazon Braket, and IBM!
Finally, for the more computer science oriented teams, the qBraid OpenQASM challenge winners, Ayushi Dubal and Naresh Chavan implemented a parser that generates OpenQASM2.0 code which is equivalent to the input Amazon Braket circuit. The parser supports all standard gates, including multi-qubit and parameterised gates. Their solution impressed in its robustness against our autograder and we're eager to see further contributions in the OpenQASM codebase and community.
First Place
Names: Diogo Cruz, Sagar Pratapsi, Oscar Amaro, João Pedro Gomes Moutinho, Duarte Magano
Repo: https://github.com/diogo-cruz/QCHACK2022
Second Place
Name: Ian Stevenson