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
PLDI '21論文読み会: Quantum Abstract Interpretation
Search
Idein
June 08, 2022
Research
0
1.5k
PLDI '21論文読み会: Quantum Abstract Interpretation
Idein
June 08, 2022
Tweet
Share
More Decks by Idein
See All by Idein
PLDI '21論文読み会: DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
ideininc
1
1.8k
PLDI '21論文読み会: AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations
ideininc
0
1.6k
PLDI '21論文読み会: Specification Synthesis with Constrainted Horn Clauses
ideininc
0
1.5k
PLDI '21論文読み会: Cyclic Program Synthesis
ideininc
0
1.5k
PLDI '21論文読み会: High Performance Correctly Rounded Math Libraries for 32-bit Floating Point Representations
ideininc
0
1.5k
PLDI '21論文読み会: Provable Repair of Deep Neural Networks
ideininc
2
1.7k
会社紹介資料/Idein株式会社
ideininc
0
43k
Other Decks in Research
See All in Research
Vision And Languageモデルにおける異なるドメインでの継続事前学習が性能に与える影響の検証 / YANS2024
sansan_randd
1
130
【緊急警告】日本の未来設計図 ~沈没か、再生か。国民と断行するラストチャンス~
yuutakasan
0
140
数理最適化と機械学習の融合
mickey_kubo
15
9.1k
Principled AI ~深層学習時代における課題解決の方法論~
taniai
3
1.2k
2021年度-基盤研究B-研究計画調書
trycycle
PRO
0
190
SSII2025 [TS2] リモートセンシング画像処理の最前線
ssii
PRO
7
3k
集合間Bregmanダイバージェンスと置換不変NNによるその学習
wasyro
0
130
NLP Colloquium
junokim
1
180
多言語カスタマーインタビューの“壁”を越える~PMと生成AIの共創~ 株式会社ジグザグ 松野 亘
watarumatsuno
0
100
Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction
satai
3
230
公立高校入試等に対する受入保留アルゴリズム(DA)導入の提言
shunyanoda
0
6.6k
When Submarine Cables Go Dark: Examining the Web Services Resilience Amid Global Internet Disruptions
irvin
0
270
Featured
See All Featured
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
1.3k
Git: the NoSQL Database
bkeepers
PRO
431
65k
A designer walks into a library…
pauljervisheath
207
24k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
53
2.9k
Stop Working from a Prison Cell
hatefulcrawdad
271
21k
Building a Modern Day E-commerce SEO Strategy
aleyda
43
7.4k
The Invisible Side of Design
smashingmag
301
51k
Art, The Web, and Tiny UX
lynnandtonic
301
21k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
358
30k
Product Roadmaps are Hard
iamctodd
PRO
54
11k
Designing for Performance
lara
610
69k
GitHub's CSS Performance
jonrohan
1031
460k
Transcript
தଜߊҰ 2VBOUVN"CTUSBDU*OUFSQSFUBUJPO 1-%*จಡΈձBU*EFJO
ಡΜͩจ w 2VBOUVN"CTUSBDU*OUFSQSFUBUJPO w ྔࢠϓϩάϥϜͷநղऍख๏ΛఏҊ͢Δจ /FOHLVO:VBOE+FOT1BMTCFSH2VBOUVNBCTUSBDUJOUFSQSFUBUJPO *O1SPDFFEJOHTPGUIFOE"$.4*(1-"/*OUFSOBUJPOBM$POGFSFODFPO1SPHSBNNJOH -BOHVBHF%FTJHOBOE*NQMFNFOUBUJPO 1-%*
"TTPDJBUJPOGPS$PNQVUJOH.BDIJOFSZ /FX:PSL /: 64" r %0*IUUQTEPJPSH
ΞδΣϯμ w நղऍͱ w ྔࢠܭࢉͱ w ຊจͷհ
w ϓϩάϥϜͷ੩తղੳͷϑϨʔϜϫʔΫͷҰͭ w ϓϩάϥϜΛԿΒ͔ͷநྖҬ BCTUSBDUEPNBJO ͷ্Ͱ࣮ߦ w நྖҬଋ MBUUJDF ͱͯ͠දݱ͞ΕΔ
நղऍ "CTUSBDU*OQUFSQSFUBUJPO \Y Z^ [Y Z \Y Z [^ நత ۩ମత
ྔࢠϏοτ 2VBOUVN#JU 2CJU w RVCJUೋ͕ͷෳૉͭͰදݱ w ͜ͷRVCJUΛ؍ଌ͢Δͱɺ֬ Ͱঢ়ଶ ɺ֬ Ͱঢ়ଶ
͕ಘΒΕΔ |α2 | |0⟩ |β2 | |1⟩ α|0⟩ + β|1⟩ = (α, β)T (α2 + β2 = 1) |0⟩ = (1,0)T, |1⟩ = (0,1)T
༧උࣝϒϥͱέοτ w Λέοτ LFU ϕΫτϧͱݺͿɻ w ͜ΕͷਵΛϒϥ CSB ϕΫτϧͱݺͼ ͱॻ͘
w ௨ৗͷੵʹͳΔ |ψ⟩ ⟨ψ| ⟨ψ|ϕ⟩ |ψ⟩ = ( α β), ⟨ψ| = (α* β*)
ྔࢠϏοτ 2VBOUVN#JU 2CJU w RVCJUෳૉ ݸͰද͞ΕΔ n 2n α|00⟩ +
β|01⟩ + γ|10⟩ + δ|11⟩ (α2 + β2 + γ2 + δ2 = 1) ྫRCJUঢ়ଶͷॏͶ߹Θͤ
ิෳ2VCJUͷܭࢉ |ϕ, ψ⟩ > = |ϕ⟩ ⊗ |ψ⟩ = (
α β) ⊗ ( γ δ) = αγ αδ βγ βδ
ྔࢠήʔτ 2VBOUVN-PHJD(BUF w ྔࢠϏοτͷঢ়ଶΛม͑Δૢ࡞ XJLJQFEJB2VBOUVNMPHJDHBUFΑΓҾ༻ |ψ⟩ |ψ′  ⟩
ྔࢠήʔτ 2VBOUVN-PHJD(BUF w ྔࢠϏοτͷঢ়ଶΛม͑Δૢ࡞ w ྫ)BEBNBSE(BUF XJLJQFEJB2VBOUVNMPHJDHBUFΑΓҾ༻ |0⟩ 1 2
|0⟩ + 1 2 |1⟩ H
ྔࢠճ࿏ 2VBOUVN$JSDVJU w ྔࢠήʔτΛΈ߹Θͤͯɺճ࿏Λߏͨ͠ͷ w ճ࿏Λతؒతʹදݱ͢Δͷ͕ྔࢠϓϩάϥϜ w ֤ԋࢉճ࿏શମϢχλϦߦྻ 6OJUBSZ.BUSJY
Λຬͨ͢ ͱͯ͠දݱ͞ΕΔ UU† = U†U = I U |ψ′  ⟩ = U|ψ⟩
ຊจͷऔΓΉ՝ w ྔࢠϓϩάϥϜͷ੩తղੳΛ͍ͨ͠ʂ w RVCJUΛදݱ͢Δͷʹ ݸͷෳૉ͕ඞཁɻετϨʔδɾԋࢉྔڞʹେɻ n 2n ܭࢉ݁ՌͲͷΑ͏ͳ ঢ়ଶϕΫτϧ
ࢀߟຊ࣌Ͱͷ ଟ ੈք࠷େͷྔࢠίϯϐϡʔλͷن w (PPHMFͷ#SJTUMFDPOF RVCJU w ݹయܭࢉػͰγϛϡϨʔτ͢Δʹ w
ঢ়ଶ ݸͷෳૉͰදݱ w ແཧͰ͢ 4.7 × 1021
ຊจͷߩݙ w ྔࢠϓϩάϥϜʹର͢Δநղऍख๏ΛఏҊ w RVCJUʹରͯ͠ଟ߲ࣜ࣌ؒͰ࣮ߦՄೳͰ͋Δ
ཧղ͢Δ্ͰͷϙΠϯτ w நྖҬ "CTUSBDU%PNBJO ΛͲ͏ఆΊΔ͔ʁ w ෦ઢܗۭࣹؒӨߦྻͷͳ͢ଋΛݩʹBCTUSBDUEPNBJOΛߏ͢Δ
ࣹӨߦྻ QSPKFDUJPONBUSJY w Λຬͨ͢ਖ਼ํߦྻ w ϕΫτϧΛ͋Δ෦ઢܗۭؒ ʹҠ͢ w ͱ ҰରҰʹରԠ
w ྫҎԼͷ ฏ໘ͱରԠ P = P† = P2 P SP P SP P xy P = 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
۩ମతঢ়ଶࣹӨߦྻͱͯ͠දݱ͞ΕΔ w ࣹӨߦྻͱͯ͠ͷੑ࣭Λຬͨ͢ ρ = |ψ⟩⟨ψ|
ࣹӨߦྻͷॱং P ⊆ Q J ff SP ⊆ SQ
நྖҬͷߏ w ORVCJUͷঢ়ଶʹରͯ͠ |ψ⟩⟨ψ| (Ps1 , ⋯, Psm ) ͷڊେߦྻ
2n × 2n Nݸͷখ͞ͳࣹӨ ߦྻͰۙࣅ
நྖҬͷఆٛ w ʹରͯ͠ ͱ͢Δɻͨͩ͠ w ORVCJUͷͷ͢ΔϏοτͷू߹Λදݱ w ͷॱংҎԼͰఆΊΔ 0
< m ≤ 2n S = (s1 , …, sm ) si ⊆ {0,…, n − 1} si P, Q ∈ AbsDom(S) AbsDom(S) = {(Ps1 , …, Psm ) ∣ Psi 2|si |ࣹ࣍Өߦྻ} P ⊑ Q J ff ∀i, Psi ⊆ Qsi
'JOFS"CTUSBDU%PNBJO AbsDom({0,1}, {1,2}) AbsDom({0,1,2}, {1,2}) AbsDom(S) ⊴ AbsDom(T) J ff
∀i si ⊆ ti
۩ମྖҬ $PODSFUF%PNBJO w நྖҬͷಛผͳ߹ɻ࠷ fi OFɻ ͱͯ͠ [n] = {0,…,
n − 1} AbsDom([n]m) = {2nࣹ࣍Өߦྻmݸͷ}
நԽࣸ૾ͱ۩ମԽࣸ૾ நԽ ۩ମԽ
ΨϩΞଓ (BMPJT$POOFDUJPO
ΨϩΞଓ (BMPJT$POOFDUJPO "CTUSBDU%PNBJOͰܭࢉͯ͠ಘͨॱংͱ $PODSFUF%PNBJOͰܭࢉͯ͠ಘͨॱংҰக
நԋࢉ RVCJUͷू߹'ʹର͢ΔϢχλϦߦྻ6ͰͷநԋࢉΛߦ͏ʹɺ 'ΛؚΉ fi OFͳEPNBJOʹҠͬͯ۩ମతʹܭࢉͯ͠ɺ"CTUSBDUEPNBJOʹΔ S = (s1 , …,
sm ) ⇒ T = (s1 ∪ sF , …, sm ∪ sF )
ओఆཧ நྖҬઢܗ෦ۭؒ ͷ ͷ-BUUJDFͩͬͨͷͰܭࢉ݁Ռͷ ͷ ʹؚ·ΕΔϏοτ෦ۭؒ ͷுΔۭؒʹؚ·ΕΔ ͱ͍ͬͨBTTFSUJPO͕ࣔͤΔ si Psi
ܭࢉྔ w ͭͷࣹӨߦྻͷαΠζΛLRVCJUͱͨ͠߹ w ۭؒܭࢉྔ w ࣌ؒܭࢉྔ ϓϩάϥϜͷήʔτ
O(|S| × (2k+3 × 2k+3)) O(|p| × 8k) |p|
ϕϯνϚʔΫ w #7G Y BY CͷB CΛݟ͚ͭΔ w ();શͯɺશ͕ͯॏͳͬͨঢ়ଶΛ࡞Δ w
(SPWFSG Y ͱͳΔYΛ୳ࡧ w .BD#PPL1SP $PSFJ()[ (#
݁ w ྔࢠܭࢉͷҝͷநղऍख๏ΛఏҊͨ͠ 4DBMBCMFͰ͋ΔRVCJUنͷγϛϡϨʔγϣϯग़དྷͨ 6TFGVMͰ͋ΔͭͷॏཁͳͰBTTFSUJPODIFDL͕ग़དྷͨ 'MFYJCMFͰ͋Δ"CTUSBDU%PNBJOͷઃܭࣗ༝͕ߴ͍