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mortuarymorticia · 1 month
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─── ・ 。゚☆: *.☽ .* :☆゚. ───
03.04.2024.
happy march, everyone! 🌿🌷🌱
i caught up on all my homework over the weekend & i’m ahead in all my note-taking. i’ve already done a quiz for chemistry (i got an 88!) & i’m gearing up for tomorrow’s accounting quiz.
[❔] : how has everyone’s monday been?
today’s to-do list:
chemistry class & quiz.
set up pet dander vacuum.
shower & shave legs.
face mask.
dishes.
do my nails.
🎧: everglow - starset.
📖: natural beauty - ling ling huang.
🌲: 30 minutes.
─── ・ 。゚☆: *.☽ .* :☆゚. ───
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inkwellphotograph · 5 months
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some science dark academia things
Because all academics can be dark academics.
(remember dark academia is only a subculture, so don’t change fundamental aspects of yourself to fit into it!)
•─•°•❀•°•─•
✎ instead of globes and paintings, a study space decorated with annotated data tables, coffee-stained formula sheets, and diagrams with weathered edges
✎ endless rows of spreadsheets, being able to input data at a frightening pace. the glow of a laptop screen despite the night outside the library window.
✎ short, neatly-trimmed nails. all the same, there's dirt under them from fieldwork
✎ walking quickly through the corridors, your labcoat giving you an air of confidence as you exchange nods with likeminded students, all working towards the same goal
✎ booking a group room with your labmates, suggesting explanations with one another as you compare results from the week's work. theories and explanations shared around coffee cups and a quiet evening
✎ annotating the papers you research, re-explaining their findings to yourself over and over until it finally dawns. carrying these papers with you and discussing them with professors
✎ the math and science students in my university always set up 'take a textbook, leave a textbook' in the hallways between the chem and math departments. there are carts full of battered, old chemistry, biology, and calculus textbooks at the start of every semester
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Studying to retake some of my exams really is a struggle but I thought maybe the rubber duck explaining can help me to finally figure out the whole tRNA situation (I feel like I’m very close on this one).
But since I don’t have a rubber duck to explain anything to, we’ll change it to the whale shark explenation, eh? Change is good, so long as it helps
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To anyone who needs it for their retakes, good luck 🤞🏻
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sneaky-sea-slug · 1 year
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I love plant anatomy so much.
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October 10, 2022
Today I:
Attended marine biodiversity lecture
Studied for upcoming environmental toxicology course
Practiced French and Spanish
Reviewed lecture on annelids
Submitted transcripts
Worked on Healing with the Arts project
I always feel more creative in fall! I’ve recently taken up knitting again, and I’m SO excited to have finished a fluffy blue-grey scarf for my aunt. The next knitting project: a blanket. We shall see how this goes.
🎧 Listening to: Marking by Sarah Beth Pfeifer
📖 Reading: The Golden Compass by Philip Pullman
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Slowly finishing my preparations for my last exam this summer term...
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lavender-moleskine · 1 year
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some study & journaling moments from recently🧡
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thecommunalfoolboy · 1 year
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It’s very annoying that people with little to no education in psychology always of all things know that Sigmund Freud is connected to it. The general population gives him so much more credit than he deserves because they just completely misunderstand what role he had in founding psychology. Yes, he basically caused modern day psychology, but not because he was a genius or anything- it’s because he started making shit up about the human mind that was so insanely wrong and disgusting that an entire scientific field was created by actual scientists going ABSOFUCKINGLUTELY NOT and dedicating their lives to disproving him out of spite
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theerlenmeyerflask · 9 months
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locked in my room, visiting one (1) museum and procrastinating my thesis once again before we close summer break this week 💔
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fakescenariosonly · 10 months
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In this world of UDPs, will you be my TCP connection?
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mortuarymorticia · 3 months
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─── ・ 。゚☆: *.☽ .* :☆゚. ───
01.24.24
it’s time for a midweek check in! feel free to reblog this with ur own answers, or make ur own post, just be sure to tag me in it & at least two mutuals to keep the trend going!
📚 what have i gotten done?
✦ lecture notes for two classes.
✦ homework for microbiology.
✦ marketing project.
📑 what have i got left to do?
✦ business project.
✦ next week’s microbiology homework.
✦ flashcards.
🧫 what am i proud of this week?
i kicked ass with productivity this week despite having a cold & feeling like crap.
📖 what am i looking forward to?
coven circle on friday night!
i tag @studywithvictory , @shrivelfigstudies & @lottiestudying ! ❤️
─── ・ 。゚☆: *.☽ .* :☆゚. ───
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melody-studyblr · 1 year
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nov 4th- studying (and studying snacks!)
will my chem exam be what finally turns me into a coffee drinker? stay tuned for next weeks episode! haha. honestly feeling okay about chem at the moment... very glad i have another weekend to prepare! its so bittersweet to be done with it! i'm really hoping i can continue it in someway next year 🤞
also i'm actually understanding vectors in spesh? is this what it feels like to be smart? lmao
so ready for summer! just one more month now!
<3 mel
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You know, I don’t believe in any gods, but one of my geology professors just emailed to let us know that he’s sick and can’t be there when we do the exam, which is why we’ll only get multiple choice questions for his part of the curriculum. And it does make me wonder if maybe there is some form of higher power who has heard our collective dislike for this class and decided to help us out a little
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4uru · 1 year
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5 yr old me : i wanna be a doctor!!!!!
Me, now *forced to study in science department despite wanting to study arts* : FUCK THISSSSSS!!!! Fuck calorimetry, fuck the DNA replication process AND SPECIALLY FUCK BALANCE REACTION OF ACID AND BASE, YALL CAN GO AND DIE PAINFULLY WITH A CHAINSAW SHOVED UP YOUR-
5 yr old me :
also me: *happily studying hypermetropia, myopia, thelassemia, colorblindness *
5 yr old me : ????
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Oct 12, 2022 📕
Today I
Attended marine biodiversity lecture
Practiced French and Spanish
Studied Curanderismo practices
Worked on herbals course
Made progress on Healing with the Arts course and project
Worked on herbals essay
I am really enjoying my herbals course and readings! I didn’t expect to love it this much! The content is delightful, the instructor is thorough and clear, and the FORMAT is completely asynchronous. There are no deadlines, no test dates, nothing. I LOVE that. Setting my own schedule!!
🎧 Listening to: Dúlamán by MALINDA
📖 Reading: Emma by Jane Austen (Book pictured: The Little Book of Cottagecore by Emily Kent)
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Cutting Quantum Circuits into Pieces - why and how?
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Even though quantum computing is a promising and huge field, it is still at an early development stage. We know algorithms with clear advantage towards classical algorithms such as Grover's or Shor's - however, we are far away from implementing those algorithms on real devices for e.g. breaking state of the art RSA encriptions.
Today's Possibilities of Quantum Computing
Thus, part of current research is to make use of the kind of quantum computers which are available today: Noisy Intermediate-Scale Quantum (NISQ) devices. They are far away from ideal quantum computers since they provide only a limited number of qubits, have faulty gate implementations and measurements and the quantum states decohere rather fast [1]. As a result, algorithms which require large depth circuits cannot be realistically implemented nowadays. Instead, it is advisable to find out what can be done with the currently available NISQ devices. Good candidates are variational quantum algorithms (VQA) in which one uses both quantum and classical methods: One constructs a parametrized quantum circuit whose parameters are optimized by a classical optimizer (e.g. COBYLA). To those methods belong for instance the variational quantum eigensolver (VQE) which can be used to find the ground state energy of a Hamiltonian (a problem which is in general often tackled without quantum computing, i.e. classical computing with tensor network approaches). Another method is solving QUBO problems with the quantum approximate optimization algorithm (QAOA). These are promising ideas, but one should note that it is not sure yet whether we can obtain quantum advantage with them or not [2].
Cutting Quantum Circuits
So far, we have learned that current quantum devices are faulty, hence still far away from fault-tolerant quantum computers. Thus, it is preferable to make quantum circuits of the above mentioned VQAs smaller somehow. Imagine the case in which you want to use the ibm_cairo system with 27 quibts, but the problem you want to solve requires 50 qubits - what can you do? One prominent idea is to cut the circuit of your algorithm into pieces (in this case, bipartitioning it). How can this be done? As you can imagine, such a task requires sophisticated methods to simulate the quantum behaviour of the large circuit even though one has fewer qubits available. Let's briefly look on how this can be done.
Wire Cutting v.s. Gate Cutting
There are different ideas about where to place the cut. In some situations it might be advisable to cut a complicated gate [3, 4]. The more illustrative way is to cut one or more wires of a circuit by implementing a certain decomposition of an identity onto the wire(s) to be cut [5, 6]. In general, such a decomposition looks like
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L is the space of linear operators on the d-dimensional complex vector space. How should this be understood? For example in [6] they apply a special case of this identity equation; in a run of the circuit only one of these terms (one channel) is applied at a time. This already indicates that cutting requires running the circuit multiple times in order to simulate the identity. This makes sense intuitively, since making a cut somewhere in a circuit makes it necessary to perform a measurement. As a result, some of the entanglement / quantum properties of the circuit are lost. To compensate this, one has to artifically simulate this quantum behaviour by sampling (running the circuit more often). This so-called sampling overhead can be proven to be
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This can be derived with the help of defining an unbiased estimator and applying Hoeffding's inequality. A detailed derivation (which holds for general operators, not only for the identity) can be found in appendix E of [3]. The exact sampling cost depends on the explicit decomposition one wants to apply.
Closing remarks
Up to my knowledge, those circuit cutting schemes only work efficiently for special cases. Often, the cost depends on the size of the cut, i.e. how many wires are cut. Additionally, the original circuit should be able to be partitioned reasonably. In the title picture you can see a mock circuit with five qubits. You can see that on the left side of the cut, there are gates which act on the first three (1,2,3) qubits only, while on the right side they only act on qubits 3,4 and 5. Hence, the cut should be placed on the overlap on both parts, i.e. on the middle qubit (3). The cut size is only one in this case, but in useful applications the cut size might be much larger. Since the cost often depends on the dimension of the cut qubits, the cost increases exponentially in the cut size (since the Hilbert space dimension grows as 2^k for the number of cuts k).
Thus, we see that circuit cutting can be very powerful in special problem instances, in which it can e.g. reduce the required qubits roughly by half - this helps making circuits shallower and smaller. However, there are lots of limitation given by the set of suitable problem instances and the sampling overhead.
--- References
[1] Marvin Bechtold, Johanna Barzen, Frank Leymann, Alexander Mandl, Julian Obst, Felix Truger, Benjamin Weder. Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices. 2023. arXiv:2302.01792
[2] M. Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles. Variational Quantum Algorithms. 2021. arXiv:2012.09265
[3] Christian Ufrecht, Maniraman Periyasamy, Sebastian Rietsch, Daniel D. Scherer, Axel Plinge, Christopher Mutschler. Cutting multi-control quantum gates with ZX calculus. 2023. arXiv:2302.00387
[4] Kosuke Mitarai, Keisuke Fujii. Constructing a virtual two-qubit gate by sampling single-qubit operations. 2019. arXiv:1909.07534
[5] Tianyi Peng, Aram Harrow, Maris Ozols, Xiaodi Wu. Simulating Large Quantum Circuits on a Small Quantum Computer. 2019. arXiv:1904.00102
[6] Angus Lowe, Matija Medvidović, Anthony Hayes, Lee J. O'Riordan, Thomas R. Bromley, Juan Miguel Arrazola, Nathan Killoran. Fast quantum circuit cutting with randomized measurements. 2022. arXiv:2207.14734
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