4.4 KiB
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
Speaker 2 - SandboxAQ
Kahoot questions
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What are the Z-basis states of a qubit
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Which country is investing the most funds in quantum computing?
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The Z Gate only adds a phase to |0> and not |1> TTrue/False ? --> FALSE
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Which gate us used to put a qubit in a super position 1/root2 > H
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A qubit in the state |0> is the SAME THING > FALSE it only has a flavor
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What gate would you add to this circuit > CX(0,1)
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What is the most practical allowed error rate in quantum computing - Below 1%
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What will the measurement read? > 00, 01, 10, 11
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Hackers can store RSA encryptedd data now, and decrypt it later when usedul quantum computing exists > True
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The following is a mult-contro, multitarget, MCMT, How many control, and target qubits are there > Control Target
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Create the following superposition in cricuit qc using onel ine of code 1/v2 (|00) > qc.h(1)
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where is the quantum processor?
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Rohan
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Ethan
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Bhavyansh S
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
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Quantum Chemistry problems -
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(MRSQK) algorithm - multireference selected quantum Krylov
- https://arxiv.org/pdf/1911.05163
- demo-notebook - 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)
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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
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DORA HACKS