From b283aec6ff50d684d318c73b2b16f1967f9ef4cc Mon Sep 17 00:00:00 2001 From: "Dr. Dominik Krupke" Date: Sun, 5 Jan 2025 20:25:29 +0100 Subject: [PATCH] feat: added a reference --- README.md | 4 ++++ chapters/machine_learning.md | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/README.md b/README.md index 24e4d6d..2218aa6 100644 --- a/README.md +++ b/README.md @@ -7313,6 +7313,10 @@ optimization has proven tricky, though progress continues. If you want more perspectives on the topic, the following articles may be of interest: +- [Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage](https://cacm.acm.org/research/disentangling-hype-from-practicality-on-realistically-achieving-quantum-advantage/#R3) + Gives strong arguments why it can be hard to achieve quantum advantage in + practice, especially why quadratic speedup algorithms like Grover's Algorithm + will not suffice. - [Quantum advantage for NP approximation? For REAL this time?](https://scottaaronson.blog/?p=8375): A blog post by Scott Aaronson, a well-known quantum computing expert, offering a critical take on the QAOA algorithm and its claimed advantages. diff --git a/chapters/machine_learning.md b/chapters/machine_learning.md index 18fc866..4d6ecce 100644 --- a/chapters/machine_learning.md +++ b/chapters/machine_learning.md @@ -392,6 +392,10 @@ optimization has proven tricky, though progress continues. If you want more perspectives on the topic, the following articles may be of interest: +- [Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage](https://cacm.acm.org/research/disentangling-hype-from-practicality-on-realistically-achieving-quantum-advantage/#R3) + Gives strong arguments why it can be hard to achieve quantum advantage in + practice, especially why quadratic speedup algorithms like Grover's Algorithm + will not suffice. - [Quantum advantage for NP approximation? For REAL this time?](https://scottaaronson.blog/?p=8375): A blog post by Scott Aaronson, a well-known quantum computing expert, offering a critical take on the QAOA algorithm and its claimed advantages.