Jin-Sung Kim

Quantum DevRel @NVIDIA. Former research scientist at IBM Quantum | Princeton PhD. Views are my own. He/Him.

[NVIDIA HPC Developer @NVIDIAHPCDev]

Are you interested in approximate tensor network methods on #GPUs? You can now easily accelerate MPS, PEPS, and more on NVIDIA cuQuantum's latest APIs. https://t.co/lnVGbIrEoD

[Pranav Gokhale @_pgokhale]

The @Infleqtion team just released SupercheQ: Quantum Advantage for Distributed Databases. AFAIK, it’s the first practical application of circuits from random sampling (quantum volume, XEB, etc.)! https://t.co/skpB1Nz4rJ Thread below 👇

[Pranav Gokhale @_pgokhale]

Shout-out to our friends at @NVIDIA including Tim Costa, @jklol89, @sam_stanwyck, @TomLubowe. GPU will continue to be critical to measuring SupercheQ’s performance 💪.

[Jin-Sung Kim @jklol89]

and definitely don't miss the panel I'm moderating featuring @travishumble from @ORNL, @BrianDellabetta from @ZapataComputing and @ABoltasseva: Accelerating Quantum Computing Research with GPUs
https://t.co/zi2MHVwuop

[Jin-Sung Kim @jklol89]

NVIDIA GTC is next week! Don't miss these great talks on #quantumcomputing:

Defining the Quantum-Accelerated Supercomputer:
https://t.co/tQEAkzE1mD

Quantum Computing Simulation in Pharmaceuticals Research and Development:
https://t.co/uSzfOAkypD

[PennyLane @PennyLaneAI]

PennyLane v0.23 introduced support for a lightning.gpu simulator, which offloads quantum gate calls to the @NVIDIA cuQuantum SDK.

In our latest blog post, we dive into why we use GPUs and how we use them to speed up the simulation of #quantum circuits 👇

https://t.co/948eHNP09V

[Xanadu @XanaduAI]

We are excited to be a partner on @NVIDIA’s new unified programming platform that aims to accelerate breakthroughs in #quantum computing research and development.

[Jin-Sung Kim @jklol89]

Special thanks to our partners @QuantinuumQC, @pasqalio, @XanaduAI, @meetIQM, @QuantumBrillia1, @QCWare, @ZapataComputing, @fz_juelich, @ORNL , @NERSC!

[Jin-Sung Kim @jklol89]

We're pleased to announce QODA, the platform for hybrid quantum-classical computing! QODA enables HPC developers and scientific programmers to seamlessly integrate quantum computing into existing scientific applications and easily develop new ones.

https://t.co/c8UrhMSu1P

[David Layden @layden_variable]

If you want to simulate the dynamics of a Hamiltonian H=A+B on a quantum computer, the simplest approach is to break down the total evolution into many small timesteps, and to alternate between A and B in each one.

How many timesteps do you need?

[Jin-Sung Kim @jklol89]

To be fair, the quote is referring to a hypothetical simpler chip that internet appliances might be run on, and Grove still recognized the potential impact of cloud then. Still fascinating to see the parallels in attitudes regarding emerging tech then and emerging tech now though

[Jin-Sung Kim @jklol89]

"Is such a computing device even feasible? It probably is, but it probably wouldn't do much. Fundamentally, you can't fool Mother Nature in computing, either." If you thought this was about quantum computing, surprise it was Andy Grove in 96 writing about the feasibility of cloud

[Jin-Sung Kim @jklol89]

@Liv_Lanes In the same vein, I can never not eat free pizza

[Jin-Sung Kim @jklol89]

We're looking for people with expertise in algorithms for quantum chemistry, QML, or QEC to drive development of quantum applications, leveraging the NVIDIA platform, with leaders in the quantum computing industry. If this is you, we want to hear from you!

[Jin-Sung Kim @jklol89]

The #NVIDIA #quantumcomputing product team is #hiring!
https://t.co/RRgk37T2dm

[Jin-Sung Kim @jklol89]

@Liv_Lanes "Qubit cloning" 🤡

[Jin-Sung Kim @jklol89]

With the flexibility of Braket's Hybrid Jobs, you can seamlessly scale out your computation across several CPU or GPU instances and experience up to a 100x reduction in runtime for certain quantum machine learning simulations.

[Jin-Sung Kim @jklol89]

Really happy to announce the integration of NVIDIA cuQuantum with Amazon Braket through Xanadu's PennyLane! Now you can execute high-performance quantum circuit simulations on GPUs with the lightning.gpu simulator from PennyLane, powered by cuQuantum. https://t.co/BKzq8rUn6b

[Jin-Sung Kim @jklol89]

NVIDIA cuQuantum can accelerate your quantum circuit simulations with GPUs, now integrated with your favorite simulation frameworks

[NVIDIA HPC Developer @NVIDIAHPCDev]

NVIDIA cuQuantum is now generally available, along with an expanding quantum computing ecosystem and collaborations with @ibm, @ORNL, @XanaduAI, @pasqalio, and others to build tomorrow’s most powerful systems. #GTC22

[NVIDIA HPC Developer @NVIDIAHPCDev]

NVIDIA cuQuantum is now generally available, along with an expanding quantum computing ecosystem and collaborations with @ibm, @ORNL, @XanaduAI, @pasqalio, and others to build tomorrow’s most powerful systems. #GTC22