shway
/
Notepad
2
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
Notepad/enter/Machine Tips (Quantum)/Resources/Companies, Orgs, & Events/Get to hacking!/NYU Haqathon.md

2.6 KiB
Raw Permalink Blame History

Group Slack

Sunday:

  • Jamie as a mentor for haqathon

Saturday:

  • Presentations begin
  • John and Maryanna from NYU and SandboxAQ
  • SEEQC presents quantum microprocessor talk
    • classically - bell labs
      • vacuum tubes to the first tunneling transistors
      • the nvidia grace hopper chip
      • classical systems quantum systems in cold environemnts
    • Software & firmware to include
      • SFQ Pulses
      • !Pasted image 20230930133113.png
    • All quantum modalities are included
    • SEEQC- red
    • that runs as a benchmark to compare these incumbent systems
    • the next level is SEEQC orange
    • The implementation of the chip
    • superconducting chips
      • theexsmple of google sycamore and th architecture is a long process
      • it has to be t
      • analog microwave pulse at room temperature that has to go all the way back to
      • the signal from your qubit
      • you read it
      • translated it amplified
      • generated a control pulse and
      • everyone one of those cables is $2000-4000
      • you have to be
    • the integration between the
    • NVidia is the room temperature GPU -
    • there will be asked on each stage - the error corretion question
      • SEEQC thinks that quantum error correction needs to be parsed
      • riverlane error correction schemes that should be implemented - build a platform that can support different kinds of error correction tradeoffs
    • the chip is not based on transistors - operate on CMOS circuits and dissipate too much heat
    • josephson junctions are being used niobium nitrate
    • the standard configuration is 5 qubits
    • because of multiplexing we dont need control and readout for each indiviudal qubit
      • they can do control and readout of 15 qubit
      • transmons are being used
      • Heisenberg simulations the
      • building students in to work in the foundry
      • jlevy@seeqc.com
      • connect with the foundry for testing
      • CMOS architectures
      • power is the enemy of your qubits
        • power is heat and heat dissipates them
    • SFQ
    • the active QPU and

Student Presentations:

Student Project 1 - Team 6

Cloud Seeding

  • machine learning + quantum computing
  • pennylane tensorflwo
  • multiplayer perceptron
  • quantum entangled
  • cloud seeding
  • future environmentalists can use this
  • 98% accuracy
  • very slow
  • quantum computing into machine learning
Student 2: Paqman - bin packing problem
Student group 3 - QuiQ
Student 4 - UN Sustainability - GMOs
  • protein folding ws discusse d
  • quibila - scipy using the classical optimizer of vqe