Hi,
I'm a electronics engineer, graduated with the degree of M.Sc (in the field of semiconductors).
I'm eager to enter the quantum computing field and I've studies in this field (I've read two books in this field (Quantum computing : a gentle introduction by Eleanor Rieffel and Wolfgang Polak and Introduction to Topological Quantum Computation by Jiannis K. Pachos) and bunch of articles in the QC simulations and machine learning and even i'm capable of coding in Qiskit and PyQuil).
I want to focus on one main topic (specially in the machine learning field) to write a proposal which helps me to follow this field as a PhD student.
There are two problems that I've: 1- I've no certified background and 2- I don't have access to an advanced center in this field
Do you have any suggestion for me? ( I really need an expert to counsel me)
I would say that reduction of decoherence is the hottest topic.
Thanks Vladimir for your answer. It's a really broad topic with tremendous number of answers (from optical to topological implementations). Do have any comment more specific here? Or do you have any idea in the area of machine learning?
Hi Alireza, take a look at this video for today's commercial use cases for quantum. https://www.chicagoquantum.com/business_use_cases.html#/
I suggest pick one, and start working in the field. For example, I am looking for help solving one of those now.
Jeff
I think Quantum error correction and Quantum dense coding are the hottest topic.
New approaches to foundations of quantum theory that would allow novel descriptions of entanglement, decoherence, etc. In particular, methods based on category theory.
Hi Alireza, I found the topic of"designing two or more qubits gates with high fidelity" really interesting.
- Badges
- Science topic
- Similar topics
- Physical Sciences
- Materials Science
- Materials
- Semiconductor