Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

INVARIANCE AND SYMMETRY PRINCIPLES.

Gerald Feinberg

Published Oct 31, 1969• 0 citations
OpenAlex

Related papers

PT SYMMETRY

Carl M. Bender

WORLD SCIENTIFIC (EUROPE) eBooks•Jul 1, 2023•1 citation

FROM NEWTON'S LAW TO QUANTUM MECHANICS: A DERIVATION OF THE GALILEAN QUANTUM DYNAMICS FROM BASIC INVARIANCE PRINCIPLES

V. Aldaya, J. A. de Azcárraga

Anales de física•Jan 1, 1982•0 citations

The Symmetry Principle

The frontiers collection•Jan 1, 2008•0 citations

Invariance Principles

P. K. Kabir

Springer eBooks•Jan 1, 1976•2 citations

SYMMETRY PRINCIPLES IN OPTIMAL QUANTUM CONTROL WITH APPLICATIONS TO CLOSED AND OPEN SYSTEMS

Thomas Schulte‐Herbrüggen

Elucidating quantum systems theory in terms of symmetry principles has triggered us in a number of recent advances: (1) it leads to a new handy controllability criterion, (2) it guides the design of quantum hardware, (3) it governs which quantum system can simulate another one given, and (4) it specifies the limit between time-optimal control and relaxation-optimised control of open systems. How principles turn into practice has been illustrated in the talk by a plethora of examples showing practical applications in solid-state devices, circuit-QED, and in spin systems. The algorithmic tools have been presented in a unified programming framework.

•Jan 1, 2011•1 citation

QUANTUM GENERAL INVARIANCE

Donald Salisbury

The Ninth Marcel Grossmann Meeting•Dec 1, 2002•0 citations
Elucidating quantum systems theory in terms of symmetry principles has triggered us in a number of recent advances: (1) it leads to a new handy controllability criterion, (2) it guides the design of quantum hardware, (3) it governs which quantum system can simulate another one given, and (4) it specifies the limit between time-optimal control and relaxation-optimised control of open systems. How principles turn into practice has been illustrated in the talk by a plethora of examples showing practical applications in solid-state devices, circuit-QED, and in spin systems. The algorithmic tools have been presented in a unified programming framework.