Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Classical analog for exotic quantum holonomy
Search
Atushi TANAKA
September 23, 2017
Research
160
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Classical analog for exotic quantum holonomy
(This presentation is in Japanese)
題目:新奇な量子ホロノミーの古典対応物
日本物理学会 2017年秋季大会 23pJ24-10 での講演スライド
Atushi TANAKA
September 23, 2017
More Decks by Atushi TANAKA
See All by Atushi TANAKA
qmnh2018
atanaka
0
81
Complete population inversion of Bose particles by an adiabatic cycle: an example of exotic quantum holonomy
atanaka
0
45
Complete population inversion of Bose particles by an adiabatic cycle
atanaka
1
220
Path topology dependence of adiabatic time evolution / 断熱的な時間発展の結果は経路のトポロジーで決まる
atanaka
0
160
Non-Hermitian degeneracies in the Lieb-Liniger model and exotic quantum holonomy
atanaka
0
200
断熱的な時間発展の結果は経路のトポロジーで決まる
atanaka
0
260
Exotic quantum holonomy for nonadiabatic evolution
atanaka
0
81
Exotic quantum holonomy and its topological formulation
atanaka
0
130
A topological formulation for exotic quantum holonomy
atanaka
0
93
Other Decks in Research
See All in Research
Dual Quadric表現を用いた動的物体追跡とRGB-D・IMU制約の密結合によるオドメトリ推定
nanoshimarobot
0
500
Fukui Shibiten 39 - AI Art
butchi
0
180
マーケットストリート 社会実験2024 in 秋葉原ジャンク通り 調査報告書
izumiyama_lab
1
110
Claude Code × autoresearch 実践
mathbullet
0
230
HackSick vol.7 LT資料【LLMアーキテクチャ入門・事前学習時の躓き所解説】 スパースなAttention・状態空間モデル
rikkabotan7
0
160
[BlackHatAsia2026] Hidden Telemetry: Uncovering TraceLogging ETW Providers You're Not Using (Yet)
asuna_jp
1
650
Language and AI
ayaniwa
0
210
第64回CV・PRML勉強会 論文紹介:Linguistic Priors for Visual Decoupling: Towards Symmetric Vision-Brain Alignment
sokikatayama
0
160
nlp2026 In-Context Learningに基づく経路案内のための地理的知識の活用方法に関する検討
takashiinui
0
130
コーディングエージェントとABNを再考
hf149
2
840
CVPR2026論文紹介_VLMにとって良いvision encoderとは何か?Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
kobayashi31
1
190
AIで最適化を解けるか?
mickey_kubo
0
150
Featured
See All Featured
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
123
22k
[RailsConf 2023] Rails as a piece of cake
palkan
59
6.9k
My Coaching Mixtape
mlcsv
0
250
How to make the Groovebox
asonas
2
2.3k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.4k
The Curse of the Amulet
leimatthew05
2
14k
Building a Scalable Design System with Sketch
lauravandoore
463
34k
We Have a Design System, Now What?
morganepeng
55
8.3k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
10k
Building Flexible Design Systems
yeseniaperezcruz
330
40k
Ethics towards AI in product and experience design
skipperchong
2
350
A better future with KSS
kneath
240
18k
Transcript
1 / 15 ৽حͳྔࢠϗϩϊϛʔͷݹయରԠ Classical analog for exotic quantum holonomy
ాதಞ࢘ (टେཧ)ɺશथ (ߴՊେ) Atushi Tanaka (TMU) and Taksu Cheon (KUT) 2017-09-23 ຊཧֶձ 2017 ळقେձ ؠखେֶʢ্ాΩϟϯύεʣ 23pJ24-10
2 / 15 ࣍ ʮ৽حͳྔࢠϗϩϊϛʔʯͷݹయՄੵܥͰͷରԠɺͭ·Γɺ ʮτʔϥε͕அαΠΫϧʹΑͬͯผͷτʔϥεʹҠΔʯ͜ͱʹ͍ͭͯ ೋͭͷࣄྫΛհ͢Δɻ ͡Ίʹ ઢܗΩοΫυεϐϯͰͷݫີͳྫ ඇઢܗΩοΫυεϐϯͰͷྫ
·ͱΊ
͡Ίʹ 3 / 15 ৽حͳྔࢠϗϩϊϛʔ அαΠΫϧʹର͢Δ (ٖ) ݻ༗ΤωϧΪʔݻ༗ۭؒͷඇࣗ໌ͳԠɻ (1) அαΠΫϧ
C ʹԊͬͯ (ٖ) ݻ༗Τω ϧΪʔΛͨ݁͠ՌɺݩʹΒͳ͍͜ͱɻ λ 0 2π E E1 E2 E3 ਤ. λ ͕ 2π पظͷ߹ (2) ͢Δͱɺఆৗঢ়ଶΛஅดܦ࿏ C ʹԊͬͯ࣌ؒൃలͤ͞Δͱ ⟨࢝ঢ়ଶ|ऴঢ়ଶ⟩ = 0 ͱͳΔɻ Ref. AT and TC, ཧֶձࢽ 4 ݄߸ (2017)ɻ
͡Ίʹ 4 / 15 அঢ়ଶͷมԽΛݹయతʹߟ͑Δͱ. . . ԾఆɿରԠ͢Δݹయܥ͕Մੵͩͱ͢Δɻ ՄੵܥͰݹయྔࢠԽ͔݅Βݻ༗ঢ়ଶͱτʔϥε͕ରԠ͢Δɿ C
| 1 | 0 q p q p ࢝ঢ়ଶͷτʔϥεஅαΠΫϧ C ʹΑͬͯผͷτʔϥεʹҠΔͣɻ
ઢܗΩοΫυεϐϯͰͷݫີͳྫ 5 / 15 ࣍ ͡Ίʹ ઢܗΩοΫυεϐϯͰͷݫີͳྫ ඇઢܗΩοΫυεϐϯͰͷྫ ·ͱΊ
ઢܗΩοΫυεϐϯͰͷݫີͳྫ 6 / 15 ݹయઢܗΩοΫυεϐϯ εϐϯ S ʹ੩࣓ͱύϧε࣓ (पظ T)
ΛҹՃɿ H(t) = B(t)·S, ͜͜Ͱ B(t) ≡ ωe z +λn∑ n δ(t −nT). n (୯ҐϕΫτϧ) ͱ λ ύϧε࣓ͷํͱڧ͞ɻϙΞϯΧϨࣸ૾ɿ S′ = Mλ S, Mλ 3x3 ަߦྻͰ͋ΓճసߦྻͷੵʹղͰ͖Δ: Mλ = R(e z,ωT)R(n,λ) ͜͜ͰɺR(n,λ) ճస࣠ n ʹ͍ͭͯ֯ λ ͷճసɻ Mλ+2π = Mλ ͔Βɺλ Λ 0 ͔Β 2π ʹ૿Ճͤ͞Δดܦ࿏ C ΛௐΔɻ
ઢܗΩοΫυεϐϯͰͷݫີͳྫ 7 / 15 ݹయઢܗΩοΫυεϐϯɿྫ ดܦ࿏ C ʹԊͬͯ λ Λ
0 ͔Β 2π ʹஅతʹ૿ͨ͠߹ɻ ਤͷԣ࣠ํҐ֯ q ≡ arctan(Sy /Sx ). ਖ਼४ڞͳӡಈྔ p ≡ Sz ͕ॎ࣠ɻ அαΠΫϧ C ʹΑͬͯɺτʔϥεผͷτʔϥεʹҠͬͨɻ
ઢܗΩοΫυεϐϯͰͷݫີͳྫ 8 / 15 આ໌ 1: ճస࣠ͱճస֯ͷղͷᐆດ͔͞Β ઢܗΩοΫυεϐϯಛ༗ͷॳతͳઆ໌ɻ (1) ઢܗͳͷͰϙΞϯΧϨࣸ૾
Mλ = R(l λ ,∆λ ) ͱ Ͱ͖Δɻ͜͜Ͱஅతͳճస࣠ l λ ͱճస֯ ∆λ Λಋ ೖͨ͠ɻ͜ΕΒ λ ʹ͍ͭͯ࿈ଓɻ (2) తͳܭࢉ͔Β l 2π = −l 0, ∆2π = 2π −∆0. ͭ ·Γɺ͜ΕΒ λ ʹ͍ͭͯ 2π पظͰແ͍ɻ͜Ε Mλ+2π = Mλ ͱໃ६͠ͳ͍͜ͱʹҙ (ӈਤ)ɻ (3) M0 ͷݻఆ l 0 அαΠΫϧ C ͷ݁Ռͱͯ͠ −l 0 ʹҠΔɻτʔϥεͷҠಈಉ༷ɻ ∆0 2π − ∆0
ઢܗΩοΫυεϐϯͰͷݫີͳྫ 9 / 15 આ໌ 2: spin-1 2 ͰͷݫີͳྔࢠݹయରԠ εϐϯ-1
2 ಛ༗ͷઆ໌ɻ ͜ͷͱ͖ྔࢠܥͷظͷӡಈํఔࣜͱݹయܥͷӡಈํఔࣜಉ͡ܗɿ d dt S = B(t)×S (͍ΘΏΔϒϩοϗํఔࣜ). ͜ΕͱɺྔࢠܥͰஅαΠΫϧ C ͕৽حͳྔࢠϗϩϊϛʔΛى͜͢͜ͱ ͔ΒɺݹయܥͰτʔϥε͕Ҡಈ͢Δɻ ͳ͓ɺྔࢠܥͷϑϩέ࡞༻ૉ͕ C Λดܦ࿏ʹ࣋ͭͨΊʹɺ͜ͷྫͷݹయܥͷ ϋϛϧτχΞϯʹʮ͓·͚ʯ͕ඞཁ (AT and Miyamoto 2007): Hྔࢠ(t) = Hݹయ(t)+ 1 2 ¯ hλ ∑ n δ(t −nT).
ઢܗΩοΫυεϐϯͰͷݫີͳྫ 10 / 15 આ໌ 3: Ґ૬زԿֶతͳઆ໌ʢγφϦΦʣ ͜ͷܥͷτʔϥεશͯ (༿ߏ) Λߟ͑Δɻ͋Δτʔϥε͔Βग़ൃͯ͠ɺ
அαΠΫϧͰͨͲΓ͖ͭಘΔͷɺ࡞༻ม I = τʔϥε p dq ͷ͕ಉ ͡τʔϥεͷΈɻ ͪͳΈʹɺεϐϯͰ I ∝ ʢτʔϥε͕ுΔཱମ֯ʣͱͰ͖Δɻ ઢܗΩοΫυεϐϯͰɺ͜ͷΑ͏ͳτʔϥεࣗ ΛؚΊೋͭͷΈ (ॖୀ͠ಘΔ͕ྫ֎త)ɻ ͜ͷτʔϥεͷඃ෴ۭؒΛͳ͢ɻ͢Δͱɺ৽حͳ ྔࢠϗϩϊϛʔͷҐ૬زԿֶతͳఆࣜԽ (AT and TC 2015) Λར༻Ͱ͖Δɻྫ͑ҰͱϗϞτϐοΫͳஅ αΠΫϧτʔϥεΛҠಈͤ͞Δ͜ͱෆՄೳɻ
ඇઢܗΩοΫυεϐϯͰͷྫ 11 / 15 ࣍ ͡Ίʹ ઢܗΩοΫυεϐϯͰͷݫີͳྫ ඇઢܗΩοΫυεϐϯͰͷྫ ·ͱΊ
ඇઢܗΩοΫυεϐϯͰͷྫ 12 / 15 ඇઢܗΩοΫυεϐϯ ۙՄੵܥͰͷྫΛհ͢ΔɻۙՄੵܥʹҰൠతͳஅఆཧ͕ແ͍ ͜ͱʹҙɻ H(t) = B(t)·S
ͱͯ͠ɺB(t) ͕ऑ͘ Sz ʹґଘ͢Δ߹Λߟ͑Δ: H(t) = [ ωSz + 1 2 kS2 z ] +λn·S∑ n δ(t −nT). cf. Haake, K´ us and Scharf 1987. ϙΞϯΧϨࣸ૾ඇઢܗʹͳΔ͕ɺλ ͷपظੑมΘΒͳ͍ͷͰಉ͡அ αΠΫϧ C Λ͏ɻ
ඇઢܗΩοΫυεϐϯͰͷྫ 13 / 15 ඇઢܗ ΩοΫυεϐϯɿྫ (k = 0.1) C
ʹԊͬͨஅతͳ࣌ؒൃలɻ͜͜Ͱ (q,p) = (arctan(Sy /Sx ),Sz). அαΠΫϧ C ʹΑͬͯɺτʔϥεผͷτʔϥεͷۙ͘ʹҠͬͨɻ
·ͱΊ 14 / 15 ·ͱΊ ▶ ৽حͳྔࢠϗϩϊϛʔͷݹయՄੵܥͰͷରԠΛಘͨɻ͢ͳΘͪɺ அαΠΫϧ C ʹΑͬͯɺݹయܥͷτʔϥε͕ผͷτʔϥεʹҠΔ
Α͏ͳྫΛݟ͍ͩͨ͠ɻ ▶ ઢܗΩοΫυεϐϯͰͷݫີͳྫʹ͍ͭͯɺࡾͭͷղऍΛ༩͑ͨ (ճసߦྻ͔Βɺεϐϯ-1/2 ͷྔࢠݹయରԠɺҐ૬زԿֶతͳղऍ)ɻ ▶ ඇՄੵܥͷྫΛࣔͨ͠ɻ [͜ΕՄੵۙࣅͰղऍͰ͖ΔʢՄੵۙࣅʹ͍ͭͯྫ͑ɺ Hanada, Shudo and Ikeda, PRE 2015ʣ ɻ]
·ͱΊ 15 / 15 ల ۩ମྫΛ૿͢ Euler top, αΠΫϩτϩϯӡಈͷ֦ுɻ Ґ૬زԿֶతͳղऍͷඋ
ʮ༿ߏͷύϥϝʔλʔมܗʹର͢ΔϞϊυϩϛʔʯͱղऍͰ͖ Δͱ༧ɻ ࡞༻มͷΛมԽͤ͞ΔஅαΠΫϧଘࡏ͢Δ͔ʁ ৽حͳྔࢠϗϩϊϛʔ͔Βଘࡏͯ͠ ྑͦ͞͏͕ͩɺ͍·ͷͱ͜Ζଘ൱ ෆ໌ɻ C | 1 | 0 q p q p