HearingTheQuantum (@quantumpod) header
HearingTheQuantum (@quantumpod) profile picture

Quantum physics for quantum physicists. Praising the cool stuff, snarky comments about the rest. Personal account: @ekwilibrator. Opinions my own!

Joined February 2019
Trying to forecast the future of quantum computing be like
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The sweet thing about a really snowy day is that people somehow start saying "hello" to each other when crossing on the street
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Replying to @Alan_Baratz
It’s incumbent upon everyone in the quantum community to avoid hyperbole and overstatements. We must stick with the facts and responsibly report on work being done without overstatements that could unnecessarily harm adoption and undermine the credibility of the industry.
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Move fast and break things💪🛥️
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A similar method allows us to tune two-qubit gates on a per-zone basis. We measured the Bell states in the central zone with high precision (though all zones seem identical for all we know), recording a record 99.97(1)% fidelity, and impressive stability over 60 hours. 11/n
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Not only is this method chip-integrated, it also works *really* well. In the paper, we perform 1-qubit gates in any zone with < 1e-5 error and ~ 1e-6 level crosstalk. And it's really scalable - for all we know, we can just keep adding zones and they will all work the same! 10/n
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which allows us to make the Rabi flops either very slow (qubit 'hidden') or very fast (qubit 'active'). We can do it very flexibly on a per-zone basis, allowing us to e.g. make an X gate in any subset of zones in the processor. 9/n
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Of course, it's not enough to do gates everywhere, we also need to modulate them locally. But this can be done electrically by fine-tuning the ion position above the current-carrying trace. In our experiment, we apply voltages applied to DC electrodes to move the ion along y 8/n
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What's neat about this method is that you can drive a lot of qubits from one trace, i.e. instead of building another laser lab every time you want to add a few qubits, all you need to do is make the on-chip trace a little longer. In the end, your QC looks simply like this 7/n
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At @OxfordIonics we decided to follow a different, more scalable paradigm. Our ions are also trapped above a chip, but quantum gates are driven not by lasers, but by AC currents running through chip traces. For background see e.g. nature.com/articles/nature10… 6/n
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Case and point: arguably the most powerful QC in the world, @QuantinuumQC's H2, has 56 qubits but only 4 gate zones (circled) that the qubits are sequentially placed into. This is because scaling free-space optics is a PITA 4/n
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On the other hand, trapped-ion qubits have really low noise: >99.9% fidelity, >1h coherence time etc. But all the commercial trapped-ion systems rely on free-space optics to deliver high-power control beams, which is really tough to scale... 3/n
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Taking a step back, what's nice about solid-state QCs is that they look like computers. I mean, it's essentially a standard chip with qubits built in, so it feels it should scale, right? 🤣 However, chips are noisy environments, so the qubits decohere really fast... 2/n
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To celebrate the new result from the trapped ion QC team at @ETH_en, I ask: are trapped-ion quantum computers really thaaaat hard to scale? Blog post: m-malinowski.github.io/2024/… Answer: no, they're not thaaat hard to scale Paper: arxiv.org/abs/2401.18056
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Quantum computing industry, particularly the quit subset
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Ladies and gentlemen, for the third time ever, the first 1000-qubit quantum computer! Third time lucky?
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Inspired by my favourite fictional talk show "Big talk", here is my personal take on how to build the quantum workforce of the future: m-malinowski.github.io/2023/… And here is "Big talk": youtube.com/watch?v=o2m0HHcy…
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