wzeng

7 ms·

1.
Sci/acc: what happens to science after super-intelligence?(willzeng.com)
2 points by wzeng 4mo ago|1 comments
2.
by wzeng 2y ago
We don’t need exponentially more physical qubits because we have quantum error correction schemes that exponentially decrease the logical error rate with only a polynomial increase in the number of qubits. There are in fact many schemes for
3.
by wzeng 2y ago
Several approaches are better than the break even point today, including the Google demonstration of error correction working to reduce logical errors: https://www.nature.com/articles/s41586-024-08449-y There’s more ci
4.
by wzeng 2y ago
You can track resource estimates for different problems against QC performance here: https://metriq.info/progress It crowdsources new submissions to the chart if there are ones you see missing (just open a PR)
5.
by wzeng 5y ago
The cQASM that you link to is one of the flavors of QASM. Another commonly used one is openqasm whose 2.0 and 3.0 specs are here: https://github.com/Qiskit/openqasm Along with QIR like as is listed in the comment, thes
6.
by wzeng 6y ago
If open source quantum computing is your thing then https://unitary.fund/ could use help supporting and mentoring projects. We're domain specific, but this might be a model others can follow.
7.
Unpacking the Quantum Supremacy Benchmark with Python(medium.com)
2 points by wzeng 7y ago|0 comments
8.
by wzeng 8y ago
Another open source Python framework is Forest from Rigetti Computing. https://www.rigetti.com/products A simple getting started post on a similar topic is here: https://medium.com/rigetti/how-to-write-
9.
by wzeng 8y ago
There is a Bay Area Quantum Computing meetup (I'm one of the organizers!) https://www.meetup.com/Bay-Area-Quantum-Computing-Meetup/ Next one will likely be at the end of July. Hope to see you there!
10.
by wzeng 8y ago
This is a great question! I've worked a lot on this topic and its crucial to understanding how quantum computers will be used in the near term. While I don't have an easy answer for the high level interface, the assembly level int
11.
by wzeng 9y ago
We haven't integrated arbitrary circuit execution features in yet, but when we do we'll make the transition as smooth as possible. It's important to remember though that noise is a fact of life for this generation of small pr
12.
by wzeng 9y ago
Signing up automatically gives you access to run on the simulator. For select users, we are providing some limited access to one of our prototype quantum processors. It's the one discussed in this paper [0]. This initial access does
13.
by wzeng 9y ago
If you're looking for a short, and practical introduction using Python, then one is included as part of the documentation for pyQuil (part of the Forest toolkit): http://pyquil.readthedocs.io/en/latest/intro_t
14.
by wzeng 9y ago
The largest full quantum computer simulation done so far is 45-qubits which was performed on the Cori supercomputer [0][1]. The main limitation in these kinds of exact simulations is memory, and so simulating 50-qubits would require about
15.
by wzeng 9y ago
There are libraries todat that let you do quantum programming! A simple Python library to get started with quantum programming is https://pyquil.readthedocs.io/en/latest/overview.html The Python library allows you
16.
by wzeng 9y ago
Thinking about this demonstration as an experiment could be a little misleading. It's somewhere between an experiment and a benchmark. Nobody has any reason to expect new physics between 10 and 50 qubits, but actually building and co
17.
by wzeng 9y ago
The best book out there is still Quantum Computation and Quantum Information by Nielsen and Chuang. It isn't quite current, as it lacks both the advances in hardware (superconducting qubits) and algorithms (quantum/classical hybri
18.
Rigetti Computing raises $64M for quantum computing infrastructure and team(prnewswire.com)
1 points by wzeng 9y ago|0 comments
19.
by wzeng 10y ago
This is great! There's a really cool ecosystem of Python tools for quantum computers that's coming out. Check them out if you'd like to learn more about quantum programming: IBM's API: https://github.com&#x2F
20.
by wzeng 10y ago
The textbook by Nielsen and Chuang is great. If you're looking for an abridged interactive one then you might be interested in the one in the documentation for pyQuil: http://pyquil.readthedocs.io/en/latest/in
21.
by wzeng 10y ago
This list is great, but appears to be a little out of date. A new crop of programming tools has recently emerged as the field grows from academia into industry efforts: Forest http://forest.rigetti.com is an open source Python t
22.
by wzeng 10y ago
Hi Xcelerate, Will Zeng from Rigetti Computing here. While you're right that it is a bit of a move, backgrounds in computational chemistry are very interesting to us as quantum simulation, especially electronic structure, is a big app
23.
by wzeng 10y ago
Yep it's coming, and that's right where you'll find it -[I'm one of the authors]. Really great to see people interested. Happy to answer questions in the meantime.
24.
Quantum Software: What software engineers should know about quantum computing(medium.com)
16 points by wzeng 11y ago|0 comments