Skip To Main Content
Baidu Research on Muck Rack

Baidu Research

As seen in: Nature, Frontiers, Science Magazine, Medical Xpress, Physical Review B, KDnuggets, VettaFi ETF Trends
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Baidu

Contact Baidu, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Using the inductive-energy participation ratio to characterize a superconducting quantum chip

|
By Baidu Research, Ke-Hui Yu, Xiao-Yang Jiao, Li-Jing Jin
| Physical Review B
We developed an inductive energy participation ratio (IEPR) method and a streamlined procedure for simulating and verifying superconducting quantum chips. These advancements are increasingly vital in the context of large-scale, fault-tolerant quantum computing. Our approach efficiently extracts the key linear and nonlinear characteristic parameters, as well as the Hamiltonian of a quantum chip layout.
Open in Who Shared Issue with article?

Quantum phase processing and its applications in estimating phase and entropies

|
By Youle Wang, Baidu Research, Lei Zhang
| Physical Review B
Quantum computing can provide speedups in solving many problems as the evolution of a quantum system is described by a unitary operator in an exponentially large Hilbert space. Such unitary operators change the phase of their eigenstates and make quantum algorithms fundamentally different from their classical counterparts.
Open in Who Shared Issue with article?

Near-Term Efficient Quantum Algorithms for Entanglement Analysis

|
By Baidu Research, Benchi Zhao, Ranyiliu Chen
| Physical Review B
Entanglement plays a crucial role in quantum physics and is the key resource in quantum information processing. However, entanglement detection and quantification are believed to be hard due to the operational impracticality of existing methods. This work proposes three near-term efficient algorithms that exploit the hybrid quantum-classical technique to address this difficulty.
Open in Who Shared Issue with article?
See all 18 articles