Notepad/enter/Machine Tips (Quantum)/Resources/Technologies, Orgs, & Apps/Applications/Quantum Cryptography/Lattices from Geomety to Cr...

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2024-09-30 20:17:21 +00:00
Oded Regev
Computer Science Dept
NYU - Courant Institute
*Person to talk to about PQC*
What can we do with quantum computers?
- simulating natural systems
- facotorng
- finding new algorithms
*Cryptography until 20th century*
- enigma machine boring! jk
- secret key cryptography
*Late 20th Century*:
- Diffie Helman
Public Key Encryption:
- allows two parties to communciate securely over an insecure channel , without having to agree in advance on a secret
Factoring Integer
- 15 = 5 * 3
- 21 = 3 * 7
- current world record is 2500 digits - took 2700 computer years
- very difficult task for computers - secure comms (web, phone, banks, governments) rely on this
- based on assumption that this factoring is very hard
Crisis in Cryptography
- 199, Shor discussed factoring is easy for quantum computers
Quantum Cryptography
- allows uncontiionally secure, communcoation over a quantum channel (Weisman70, BenneetBressar84)
- real world implementatins
- but rrequites dedicated infrastructure
Post-quantum Cryptography
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# Speaker 2 - SandboxAQ
Kahoot questions
1. What are the Z-basis states of a qubit
2. Which country is investing the most funds in quantum computing?
3. The Z Gate only adds a phase to |0> and not |1> TTrue/False ? --> FALSE
4. Which gate us used to put a qubit in a super position 1/root2 > H
5. A qubit in the state |0> is the SAME THING > **FALSE** it only has a flavor
6. What gate would you add to this circuit > **CX(0,1)**
7. What is the most practical allowed error rate in quantum computing - Below 1%
8. What will the measurement read? > 00, 01, 10, 11
9. Hackers can store RSA encryptedd data now, and decrypt it later when usedul quantum computing exists > True
10. The following is a mult-contro, multitarget, MCMT, How many control, and target qubits are there > Control Target
11. Create the following superposition in cricuit qc using onel ine of code 1/v2 (|00) > qc.h(1)
12. where is the quantum processor?
1. Rohan
2. Ethan
3. Bhavyansh S
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# Speaker 3 - research scientist in AWS
AWS - analog version with QuEra
-qbraid powered by AWsS
His interests:
- pulse-level control
- he works on compilation
- first circuit level compilation
- bosonic qubit architecture -
- GKB qubits - his favorite
- Compilation for Hamiltonian Simulation
- prof at Upenn
- Machine Learning
- Formal Verification for Quantum computing
**Undergraduate Research Work **
Researchers!
Sashad Anagolum
Narges Alasvisami
Poulami Das
Moin Kesslet
Elivagar: efficient circuit search for QML
Problems with current QML circuits
- chosen arbitrary from a small set of tempaltes
- tempaltes do not incorpaorte any information about QML task or target device
- choosing an ansatz is a very big thing / issue - a lot of people use templates which usually don't do work
- people also quantum circuit search - based neural net search
- inpired by classical Neural Architecture Search (NAS)
- quantum NAS
Differences between quantum and classical ML
- they are different on all levels!!
for quantum
- how you embed is more flexibl
- gradient compute is more expensive
- big saearch space but as big in NISW
- SWAPS are expnsive
- not all qubit/links are created ewual
your classical RAM is so much easier to copy and move around
on the quantum side
reach out -
maya2newschool.edu
----
QcraiD
- EHNU6626
-
Contact:
akash@qbraid.com
pranet@qbraid.com
---
# NYU-HAQ
- Quantum Chemistry problems -
- (MRSQK) algorithm - multireference selected quantum Krylov
- https://arxiv.org/pdf/1911.05163
- [demo-notebook](https://colab.research.google.com/github/sandbox-quantum/Tangelo-Examples/blob/main/examples/chemistry/excited_states.ipynb#scrollTo=rpnEQfLZL8wx) - of the mrsqk algorithm
- get a molecule - find a ground state and find the excited state
- then evolve the hamiltonian
- what happens when you scale this? count the resources it takes - for example, the amount of gates it uses document how expensive it is
- or do circuit compilation
- biggest molecule with the smallest amount of resources
- do the first part in tangelo (ground state and excited state)
- Quantum Finance problems
- implement this algorithm using VQE
- portfolio optimization
- take your algorithm and optimize it on the hardware
- do it to limit the computational cost
- compare it to classical algorithms
- run it on actual
- DORA HACKS