In 1996 or so, Prof. Nakatsuji and Yasuda solved the density equation after Valdemoro and co-wokers solved it (she calls as contracted Schroedinger equation). This is a great achivement and I was at bachelor student at Kyoto Univ. Yasuda-san got Ph.D in this year so our overlap is only one year. What a pity.
What I did in the first year - very simple extension - just describe openshell system, and nothing has been changed in the theory. I could determine some systems like H2O, Be, etc after three years, nothing more. Density equation is very unstable. I was really disappointing about it and something I should change the way I do. At first Nakatsuji-sensei was not happy with my change, of course, he found the density equation (or contracted schroedinger equation).
I read many older papers. Garrod, Fusco, Mihailovic, Rosina, Kijiwski are the early pioneers to trying to variational calculation, and surprisingly, their results for Be are very promising. So I decided to do variational calculation. All papers are quite pessimistic about P, Q, and G conditions. Yes, I know it. However, only two papers at the three years makes me crazy. I thought that I can reproduce Be result, and at least I know by Kummer's paper or Erdahl's paper that P Q G are compact (in what sense?) and Hamiltonian is linear functional, so we have at least well-defined minima (yes we can have results! if there are no numerical issues). also G-condition is somewhat related to BCS type wavefunction, I hoped that it can apply to some systems.
At that time I thought that I can reproduce Be result, but may fail for larger systems like H2O
but _AT LEAST_ I can get 2-RDMs (compactness of P,Q,Gdomain and if not numerical issues) and publish a paper! Oh what a joy!
In 1999/3/30, I asked at fj.sci.math about optimization of linear functional over semidefinite constraint. Ono-san kindly replied as there is an established field in mathematical programming and some implementations are available via internet. Kojima-lab is the one of the active lab in Japan.
So I started. I read many Prof.Kojima's resumes but I just understand semi-definite programming can be used for variational 2-RDM.
I e-mailed to Mituhiro Fukuda, now he's my friend, about it. I proposed him a very simplified problem and he kindly show me how to translate it to "primal" standard type problem.
It took only one month to understand how I "play" with SDPA. Implementation was a breeze. With P and Q condition, Be energy was -17 au or something, and it is expected :)
Incorporating G-condition was really tough. Really exhausted. I tried, tried and tried. all are my stupid bugs, and misunderstanding of SDP or something like that.
Finally I got some results until fall. I fixed the final stupid bug. Then I got many results. Lab seminar was held at 99/12/7, I presented some results. I was very happy about it. and
Nakatsuji-sensei told me "this is a very important result". it was my great pleasure!!
This result was published as JCP 2001.
After I submitted a manuscript, referee comment was very affirmative. However, due to
my laziness, I just left for a while. Nakatsuji-sensei scold me. If I were bit more smart, it was
published in 2000.
2009年6月17日水曜日
登録:
コメントの投稿 (Atom)
フォロワー
ブログ アーカイブ
-
▼
2009
(18)
-
▼
6月
(17)
- Excited state 2-RDM
- Why 1-RDM doesn't matter?
- Quantum Marginals and Density Matrices Workshop in...
- Quantum Marginals and Density Matrices Workshop in...
- Mpack: multiple precision arithmetic version of BL...
- multiple precision arithmetic version of semidefin...
- The Density equation
- Husimi Kodi sensei
- No I don't find a new N-representability condition.
- T1 and T2 condition
- Potential energy surface
- When I realized semidefinite programming is applic...
- everything is NP-hard
- Gamess on FreeBSD 7.2/amd64
- History of early days of reduced density matrix th...
- Back from Canada (with slide in PDF)
- Nakata Maho's reseach blog has been started
-
▼
6月
(17)
自己紹介
- NAKATA, Maho
- * second order reduced density matrices * N-representability * Quantum Computer * multiple precision arithmetic
Nakata Maho is a scientist and interested in reduced density matrix related theories, optimization and multiple precision arithmetics.
0 件のコメント:
コメントを投稿