Last year, I was running Quantum simulations for ML projects. My options: wire in a cloud server, build Docker containers for cuQuantum on rented GPUs, or pay per shot on IBMQ. There was no open-source quantum simulator I could just run on my Mac/Mini without pulling my hair out. So I built one.
@SenWarren Sorry but American Revolution stated when British wanted to tax colonies brutally. So you propose a tax on wealth and expect them to hand it to you. That’s delusional. Good luck x
Zilver just got noisier and a lot more real. 🔊
v0.5.0 brings noise models to your Mac, so you can see how your circuit will run on real quantum hardware before you spend a single QPU credit.
Here is a sim-to-real benchmark on live IBM Q & IQM machines, where Zilver matched the hardware as accurately as the industry standard, locally and for free.
And trainable quantum circuits, native to MLX.
Go build something real with Zilver.
Loading classical data into a quantum computer just got 50% cheaper.
This work by Danial Motlagh and Matthew Pocrnic (@mpocrnic97) introduces a new method that slashes the Toffoli gate overhead required for Quantum Read-Only Memory (QROM).
🔗👇
Last night Quantumaxxing at @encodeclub Thanks for all coming to our first public event. @SiriusQuantum Stoked audience and fab host.🔥Just WoW! And We will ship more quantum ml tools/datasets and host hackathons during the summer, give us a follow, stay entangled!
Last year, I was running Quantum simulations for ML projects. My options: wire in a cloud server, build Docker containers for cuQuantum on rented GPUs, or pay per shot on IBMQ. There was no open-source quantum simulator I could just run on my Mac/Mini without pulling my hair out. So I built one.
@Apple Things even got better. We did not just build the simulator. We put it to work.
Zilver has already generated 3 public quantum datasets on @huggingface — BBBP, QM9, QM7b — molecular property and chemistry benchmarks.
Live and already being downloaded.
https://t.co/4Y6NN3Ewc8