[{"data":1,"prerenderedAt":831},["ShallowReactive",2],{"blog-post-qorbital":3,"sibling-dives-qorbital":829,"learn-track-qorbital":830},{"id":4,"title":5,"authors":6,"body":8,"breadcrumb":748,"builders":752,"byline":777,"challenge":782,"courseAuthor":782,"courseLead":782,"dek":783,"description":784,"draft":785,"extension":786,"eyebrow":787,"finish":782,"fork":788,"hero":790,"heroAlt":782,"heroCta":782,"heroImage":782,"kind":793,"lessonCount":782,"meta":794,"navigation":214,"newsItems":782,"next":782,"ogImage":782,"order":782,"outcomes":782,"path":795,"publishDate":796,"readingTime":797,"related":798,"relatedProjects":799,"seo":820,"stem":823,"tags":824,"track":782,"trackName":782,"__hash__":828},"blog\u002Fblog\u002Fqorbital.md","Project Showcase: qOrbital",[7],"bawa27",{"type":9,"value":10,"toc":742},"minimark",[11,15,18,27,32,44,47,54,59,63,66,69,74,77,81,84,654,657,721,725,728,738],[12,13,14],"p",{},"When a chemist draws a molecule, the electrons are not really dots. They are fuzzy clouds of probability. qOrbital computes those clouds for small molecules on real quantum hardware, then lets you look at them.",[12,16,17],{},"Pick a molecule (H₂, HeH⁺, LiH), drag a bond-length slider, and a full quantum-chemistry pipeline runs underneath: classical integrals from PySCF, a qubit Hamiltonian from Qiskit Nature, and a ground state found by VQE on IonQ. From that state qOrbital reconstructs the electron density and renders it. It is built by Aryan Bawa and Arnav Singh, two Dartmouth physics students, and its sharpest idea is what it refuses to hide.",[19,20,24],"pull-quote",{"avatar":21,"name":22,"role":23,"username":21},"","Aryan Bawa & Arnav Singh","Creators, qOrbital",[12,25,26],{},"Most VQE demos report one energy number and hide the noise. qOrbital makes the noise the exhibit.",[28,29,31],"h2",{"id":30},"two-ways-to-see-an-electron","Two ways to see an electron",[12,33,34,35,39,40,43],{},"What does an orbital actually look like? Quantum mechanics gives two famous answers, and qOrbital shows both from the same wavefunction. The ",[36,37,38],"strong",{},"Copenhagen"," view is the textbook one: a probability cloud, rendered as a 3D density isosurface. The ",[36,41,42],{},"Bohmian"," view takes that same wavefunction, computes a velocity field from its phase, and integrates particle trajectories through it.",[12,45,46],{},"Drop a handful of seed particles into the Bohmian view and they do not fill the orbital so much as draw it. Paths bend around nodes and crowd where the bonding density is highest. You set a molecule and a geometry, and the orbital responds in real time as you move the slider, with a live dashboard showing the VQE optimizer working its way toward the ground state.",[48,49],"blog-figure",{"alt":50,"caption":51,"no":52,"src":53},"The qOrbital interface: a 3D H₂ orbital isosurface threaded with Bohmian trajectories, with the VQE dashboard alongside","The H₂ orbital as an isosurface with Bohmian trajectories, 28 IonQ runs overlaid into the uncertainty cloud. Demo by Aryan Bawa & Arnav Singh.","qOrbital in motion.","\u002F_content\u002Fimages\u002Fqorbital\u002Fscreenshot.webp",[19,55,56],{"avatar":21,"name":22,"role":23,"username":21},[12,57,58],{},"Two radically different interpretations, one underlying wavefunction, side by side. The connection becomes something you watch instead of something you are told.",[28,60,62],{"id":61},"noise-you-can-see","Noise you can see",[12,64,65],{},"This is the part no other visualizer does. Bohmian trajectories need a high-fidelity wavefunction, not just an energy expectation value, so every hardware run carries the full fingerprint of finite measurement statistics. Overlay many independent IonQ runs and you get a trajectory uncertainty cloud.",[12,67,68],{},"Where the physics is robust, the trajectories pile up sharp and clean. Near nodes, where the wavefunction is most fragile, they smear out. The error stops being an abstract bar on a chart and becomes a shape you can read.",[19,70,71],{"avatar":21,"name":22,"role":23,"username":21},[12,72,73],{},"Instead of a dry error bar, you see exactly where a trapped-ion processor is and isn't sure.",[12,75,76],{},"To make that explorable without a hardware queue, real runs on IonQ Aria and Forte are bundled as a gallery of independent results per molecule, so visitors can browse genuine hardware output, run-to-run variation and all, while a clean Aer statevector simulator provides the \"this is what perfect looks like\" baseline.",[28,78,80],{"id":79},"how-it-works","How it works",[12,82,83],{},"The pipeline is a real quantum-chemistry stack, end to end: PySCF builds the classical integrals and a Hartree-Fock reference, Qiskit Nature maps the fermionic problem to qubits, VQE finds the ground state, and the optimized state is turned back into a density grid and a Bohmian velocity field for rendering. The core loop is small enough to run yourself, and on Qollab it runs as written:",[85,86,90],"code-block",{"name":87,"run-href":88,"tag":89},"vqe_quickstart.py","\u002Fu\u002Fbawa27\u002Fqorbital","Python · excerpt",[91,92,97],"pre",{"className":93,"code":94,"language":95,"meta":96,"style":21},"language-python shiki shiki-themes one-dark-pro","# qOrbital quickstart: find a molecule's ground state with VQE.\nimport numpy as np\nfrom qiskit.primitives import StatevectorEstimator\nfrom qiskit_algorithms import VQE\nfrom qiskit_algorithms.optimizers import SLSQP\nfrom qiskit_nature.second_q.circuit.library import UCCSD, HartreeFock\nfrom qiskit_nature.second_q.drivers import PySCFDriver\nfrom qiskit_nature.second_q.mappers import JordanWignerMapper\n\nMOLECULE, BOND = \"H2\", 0.735          # also: HeH+, LiH\n\n# 1. Classical chemistry: Hartree-Fock + molecular integrals\nproblem = PySCFDriver(atom=f\"H 0 0 0; H 0 0 {BOND}\", basis=\"sto-3g\").run()\n\n# 2. Fermions to qubits\nmapper = JordanWignerMapper()\nqubit_op = mapper.map(problem.hamiltonian.second_q_op())\n\n# 3. UCCSD trial state, from the Hartree-Fock reference\nhf = HartreeFock(problem.num_spatial_orbitals, problem.num_particles, mapper)\nansatz = UCCSD(problem.num_spatial_orbitals, problem.num_particles, mapper, initial_state=hf)\n\ndef show(step, params, energy, meta):\n    print(f\"  iter {step:>3}   E_elec = {energy:+.6f} Ha\")\n\nvqe = VQE(StatevectorEstimator(), ansatz, SLSQP(maxiter=100),\n          callback=show, initial_point=np.zeros(ansatz.num_parameters))\nresult = vqe.compute_minimum_eigenvalue(qubit_op)\n\ntotal = result.eigenvalue.real + problem.hamiltonian.nuclear_repulsion_energy\nprint(f\"  ground state = {total:+.6f} Ha\")\n","python","· excerpt",[98,99,100,109,126,140,154,167,183,196,209,216,244,249,255,321,326,332,353,376,381,387,401,430,435,468,518,523,558,583,600,605,627],"code",{"__ignoreMap":21},[101,102,105],"span",{"class":103,"line":104},"line",1,[101,106,108],{"class":107},"sV9Aq","# qOrbital quickstart: find a molecule's ground state with VQE.\n",[101,110,112,116,120,123],{"class":103,"line":111},2,[101,113,115],{"class":114},"seHd6","import",[101,117,119],{"class":118},"sn6KH"," numpy ",[101,121,122],{"class":114},"as",[101,124,125],{"class":118}," np\n",[101,127,129,132,135,137],{"class":103,"line":128},3,[101,130,131],{"class":114},"from",[101,133,134],{"class":118}," qiskit.primitives ",[101,136,115],{"class":114},[101,138,139],{"class":118}," StatevectorEstimator\n",[101,141,143,145,148,150],{"class":103,"line":142},4,[101,144,131],{"class":114},[101,146,147],{"class":118}," qiskit_algorithms ",[101,149,115],{"class":114},[101,151,153],{"class":152},"sVC51"," VQE\n",[101,155,157,159,162,164],{"class":103,"line":156},5,[101,158,131],{"class":114},[101,160,161],{"class":118}," qiskit_algorithms.optimizers ",[101,163,115],{"class":114},[101,165,166],{"class":152}," SLSQP\n",[101,168,170,172,175,177,180],{"class":103,"line":169},6,[101,171,131],{"class":114},[101,173,174],{"class":118}," qiskit_nature.second_q.circuit.library ",[101,176,115],{"class":114},[101,178,179],{"class":152}," UCCSD",[101,181,182],{"class":118},", HartreeFock\n",[101,184,186,188,191,193],{"class":103,"line":185},7,[101,187,131],{"class":114},[101,189,190],{"class":118}," qiskit_nature.second_q.drivers ",[101,192,115],{"class":114},[101,194,195],{"class":118}," PySCFDriver\n",[101,197,199,201,204,206],{"class":103,"line":198},8,[101,200,131],{"class":114},[101,202,203],{"class":118}," qiskit_nature.second_q.mappers ",[101,205,115],{"class":114},[101,207,208],{"class":118}," JordanWignerMapper\n",[101,210,212],{"class":103,"line":211},9,[101,213,215],{"emptyLinePlaceholder":214},true,"\n",[101,217,219,222,225,228,232,236,238,241],{"class":103,"line":218},10,[101,220,221],{"class":152},"MOLECULE",[101,223,224],{"class":118},", ",[101,226,227],{"class":152},"BOND",[101,229,231],{"class":230},"sjrmR"," =",[101,233,235],{"class":234},"subq3"," \"H2\"",[101,237,224],{"class":118},[101,239,240],{"class":152},"0.735",[101,242,243],{"class":107},"          # also: HeH+, LiH\n",[101,245,247],{"class":103,"line":246},11,[101,248,215],{"emptyLinePlaceholder":214},[101,250,252],{"class":103,"line":251},12,[101,253,254],{"class":107},"# 1. Classical chemistry: Hartree-Fock + molecular integrals\n",[101,256,258,261,264,268,271,275,277,280,283,286,289,291,294,296,299,302,305,308],{"class":103,"line":257},13,[101,259,260],{"class":118},"problem ",[101,262,263],{"class":230},"=",[101,265,267],{"class":266},"sVbv2"," PySCFDriver",[101,269,270],{"class":118},"(",[101,272,274],{"class":273},"s_ZVi","atom",[101,276,263],{"class":230},[101,278,279],{"class":114},"f",[101,281,282],{"class":234},"\"H 0 0 0; H 0 0 ",[101,284,285],{"class":152},"{BOND}",[101,287,288],{"class":234},"\"",[101,290,224],{"class":118},[101,292,293],{"class":273},"basis",[101,295,263],{"class":230},[101,297,298],{"class":234},"\"sto-3g\"",[101,300,301],{"class":118},").",[101,303,304],{"class":266},"run",[101,306,307],{"class":118},"()",[101,309,312,313],{"class":310,"tabindex":311},"qg-help",0,"?",[101,314,317,320],{"class":315,"role":316},"qg-help__tip","tooltip",[36,318,319],{},"Classical setup."," PySCF runs Hartree-Fock and builds the molecular integrals. This is also the classical baseline qOrbital compares against.",[101,322,324],{"class":103,"line":323},14,[101,325,215],{"emptyLinePlaceholder":214},[101,327,329],{"class":103,"line":328},15,[101,330,331],{"class":107},"# 2. Fermions to qubits\n",[101,333,335,338,340,343,345],{"class":103,"line":334},16,[101,336,337],{"class":118},"mapper ",[101,339,263],{"class":230},[101,341,342],{"class":266}," JordanWignerMapper",[101,344,307],{"class":118},[101,346,312,347],{"class":310,"tabindex":311},[101,348,349,352],{"class":315,"role":316},[36,350,351],{},"Mapping."," Turns the fermionic Hamiltonian into qubit operators. LiH instead uses parity mapping with a 2-qubit reduction to keep the qubit count down.",[101,354,356,359,361,364,367,370,373],{"class":103,"line":355},17,[101,357,358],{"class":118},"qubit_op ",[101,360,263],{"class":230},[101,362,363],{"class":118}," mapper.",[101,365,366],{"class":266},"map",[101,368,369],{"class":118},"(problem.hamiltonian.",[101,371,372],{"class":266},"second_q_op",[101,374,375],{"class":118},"())\n",[101,377,379],{"class":103,"line":378},18,[101,380,215],{"emptyLinePlaceholder":214},[101,382,384],{"class":103,"line":383},19,[101,385,386],{"class":107},"# 3. UCCSD trial state, from the Hartree-Fock reference\n",[101,388,390,393,395,398],{"class":103,"line":389},20,[101,391,392],{"class":118},"hf ",[101,394,263],{"class":230},[101,396,397],{"class":266}," HartreeFock",[101,399,400],{"class":118},"(problem.num_spatial_orbitals, problem.num_particles, mapper)\n",[101,402,404,407,409,411,414,417,419,422],{"class":103,"line":403},21,[101,405,406],{"class":118},"ansatz ",[101,408,263],{"class":230},[101,410,179],{"class":266},[101,412,413],{"class":118},"(problem.num_spatial_orbitals, problem.num_particles, mapper, ",[101,415,416],{"class":273},"initial_state",[101,418,263],{"class":230},[101,420,421],{"class":118},"hf)",[101,423,312,424],{"class":310,"tabindex":311},[101,425,426,429],{"class":315,"role":316},[36,427,428],{},"Ansatz."," UCCSD is the trial wavefunction. VQE tunes its parameters to push the energy down to the true ground state.",[101,431,433],{"class":103,"line":432},22,[101,434,215],{"emptyLinePlaceholder":214},[101,436,438,441,444,446,450,452,455,457,460,462,465],{"class":103,"line":437},23,[101,439,440],{"class":114},"def",[101,442,443],{"class":266}," show",[101,445,270],{"class":118},[101,447,449],{"class":448},"sb9H8","step",[101,451,224],{"class":118},[101,453,454],{"class":448},"params",[101,456,224],{"class":118},[101,458,459],{"class":448},"energy",[101,461,224],{"class":118},[101,463,464],{"class":448},"meta",[101,466,467],{"class":118},"):\n",[101,469,471,474,476,478,481,484,486,489,492,495,497,499,502,504,507,510],{"class":103,"line":470},24,[101,472,473],{"class":230},"    print",[101,475,270],{"class":118},[101,477,279],{"class":114},[101,479,480],{"class":234},"\"  iter ",[101,482,483],{"class":152},"{",[101,485,449],{"class":118},[101,487,488],{"class":114},":>3",[101,490,491],{"class":152},"}",[101,493,494],{"class":234},"   E_elec = ",[101,496,483],{"class":152},[101,498,459],{"class":118},[101,500,501],{"class":114},":+.6f",[101,503,491],{"class":152},[101,505,506],{"class":234}," Ha\"",[101,508,509],{"class":118},")",[101,511,312,512],{"class":310,"tabindex":311},[101,513,514,517],{"class":315,"role":316},[36,515,516],{},"The descent."," VQE walks downhill: each step the optimizer nudges the circuit and the energy drops. This callback feeds the live convergence dashboard.",[101,519,521],{"class":103,"line":520},25,[101,522,215],{"emptyLinePlaceholder":214},[101,524,526,529,531,534,536,539,542,545,547,550,552,555],{"class":103,"line":525},26,[101,527,528],{"class":118},"vqe ",[101,530,263],{"class":230},[101,532,533],{"class":266}," VQE",[101,535,270],{"class":118},[101,537,538],{"class":266},"StatevectorEstimator",[101,540,541],{"class":118},"(), ansatz, ",[101,543,544],{"class":266},"SLSQP",[101,546,270],{"class":118},[101,548,549],{"class":273},"maxiter",[101,551,263],{"class":230},[101,553,554],{"class":152},"100",[101,556,557],{"class":118},"),\n",[101,559,561,564,566,569,572,574,577,580],{"class":103,"line":560},27,[101,562,563],{"class":273},"          callback",[101,565,263],{"class":230},[101,567,568],{"class":118},"show, ",[101,570,571],{"class":273},"initial_point",[101,573,263],{"class":230},[101,575,576],{"class":118},"np.",[101,578,579],{"class":266},"zeros",[101,581,582],{"class":118},"(ansatz.num_parameters))\n",[101,584,586,589,591,594,597],{"class":103,"line":585},28,[101,587,588],{"class":118},"result ",[101,590,263],{"class":230},[101,592,593],{"class":118}," vqe.",[101,595,596],{"class":266},"compute_minimum_eigenvalue",[101,598,599],{"class":118},"(qubit_op)\n",[101,601,603],{"class":103,"line":602},29,[101,604,215],{"emptyLinePlaceholder":214},[101,606,608,611,613,616,619,622],{"class":103,"line":607},30,[101,609,610],{"class":118},"total ",[101,612,263],{"class":230},[101,614,615],{"class":118}," result.eigenvalue.real ",[101,617,618],{"class":230},"+",[101,620,621],{"class":118}," problem.hamiltonian.nuclear_repulsion_energy",[101,623,312,624],{"class":310,"tabindex":311},[101,625,626],{"class":315,"role":316},"Electronic energy plus nuclear repulsion is the molecule's ground-state energy. qOrbital rebuilds the electron density and Bohmian trajectories from this state.",[101,628,630,633,635,637,640,642,645,647,649,651],{"class":103,"line":629},31,[101,631,632],{"class":230},"print",[101,634,270],{"class":118},[101,636,279],{"class":114},[101,638,639],{"class":234},"\"  ground state = ",[101,641,483],{"class":152},[101,643,644],{"class":118},"total",[101,646,501],{"class":114},[101,648,491],{"class":152},[101,650,506],{"class":234},[101,652,653],{"class":118},")\n",[12,655,656],{},"From the converged state, qOrbital extracts the one-particle reduced density matrix to rebuild the electron density on a 3D grid, computes the de Broglie-Bohm velocity field v = (ℏ\u002Fm) Im(∇ψ\u002Fψ) and integrates it with adaptive Runge-Kutta for the trajectories, then renders both with Three.js on the web and PyVista in the lab.",[658,659,661],"repo-spec",{"lead":660},"qOrbital is open source and MIT-licensed, built to be forked and rerun.",[662,663,664,677],"table",{},[665,666,667],"thead",{},[668,669,670,674],"tr",{},[671,672,673],"th",{},"Field",[671,675,676],{},"Detail",[678,679,680,689,697,705,713],"tbody",{},[668,681,682,686],{},[683,684,685],"td",{},"Quantum",[683,687,688],{},"Qiskit, Qiskit Nature, Qiskit Aer, VQE with a UCCSD ansatz.",[668,690,691,694],{},[683,692,693],{},"Hardware",[683,695,696],{},"qiskit-ionq, IonQ Aria and Forte trapped-ion processors.",[668,698,699,702],{},[683,700,701],{},"Classical",[683,703,704],{},"PySCF, NumPy, SciPy, integrals, Hartree-Fock, and density.",[668,706,707,710],{},[683,708,709],{},"Render",[683,711,712],{},"Three.js (web) and PyVista \u002F VTK (Jupyter), isosurfaces and trajectory streamlines.",[668,714,715,718],{},[683,716,717],{},"Method",[683,719,720],{},"de Broglie-Bohm trajectories (Bohm 1952; Wyatt 2005).",[28,722,724],{"id":723},"make-it-yours","Make it yours",[12,726,727],{},"qOrbital is open and forkable on Qollab, the full package is MIT-licensed on GitHub, and you can try the hosted demo right now. Swap the molecule, change the bond length, seed your own particles, and rerun the VQE on a simulator or real IonQ hardware. Supported molecules today are H₂ (the tutorial baseline), HeH⁺ (polar asymmetry), and LiH (the main showcase).",[723,729,732],{"fork-href":88,"live-href":730,"title":731},"https:\u002F\u002Fqorbital.xyz","See an orbital two ways, noise and all.",[12,733,734,735],{},"Fork qOrbital, run VQE on a real trapped-ion processor, and watch the electron density and its Bohmian trajectories take shape. ",[36,736,737],{},"Everything here is open and yours to build on.",[739,740,741],"style",{},"html pre.shiki code .sV9Aq, html code.shiki .sV9Aq{--shiki-default:#7F848E;--shiki-default-font-style:italic}html pre.shiki code .seHd6, html code.shiki .seHd6{--shiki-default:#C678DD}html pre.shiki code .sn6KH, html code.shiki .sn6KH{--shiki-default:#ABB2BF}html pre.shiki code .sVC51, html code.shiki .sVC51{--shiki-default:#D19A66}html pre.shiki code .sjrmR, html code.shiki .sjrmR{--shiki-default:#56B6C2}html pre.shiki code .subq3, html code.shiki .subq3{--shiki-default:#98C379}html pre.shiki code .sVbv2, html code.shiki .sVbv2{--shiki-default:#61AFEF}html pre.shiki code .s_ZVi, html code.shiki .s_ZVi{--shiki-default:#E06C75;--shiki-default-font-style:italic}html pre.shiki code .sb9H8, html code.shiki .sb9H8{--shiki-default:#D19A66;--shiki-default-font-style:italic}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}",{"title":21,"searchDepth":111,"depth":111,"links":743},[744,745,746,747],{"id":30,"depth":111,"text":31},{"id":61,"depth":111,"text":62},{"id":79,"depth":111,"text":80},{"id":723,"depth":111,"text":724},[749,750,751],"Qollab","Blog","qOrbital",[753,767],{"username":7,"name":754,"role":755,"avatar":21,"bio":756,"links":757},"Aryan Bawa","Quantum computing lead","Aryan studies physics and mathematics (modified with computer science) at Dartmouth College, where he is an undergraduate researcher in the Whitfield Group working on quantum algorithms for circuit approximation via the quantum singular value transform. He wrote qsp-proc, an open-source Python\u002FQiskit package for QSP phase-finding, with coursework spanning quantum information, graduate quantum mechanics, quantum optics, and error correction.",[758,761,764],{"label":759,"href":760},"Qollab ↗","https:\u002F\u002Fqollab.xyz\u002Fu\u002Fbawa27",{"label":762,"href":763},"LinkedIn ↗","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fabawa2305\u002F",{"label":765,"href":766},"GitHub ↗","https:\u002F\u002Fgithub.com\u002Fbawa27",{"name":768,"role":769,"avatar":21,"bio":770,"links":771},"Arnav Singh","Software & visualization lead","Arnav studies physics and computer science at Dartmouth and brings the full-stack and rendering side. He has production engineering experience at PlayStation, where he co-led a React analytics platform from MVP to deployment, and research experience applying ML to NASA mission proposals and astronomical data at the South African Astronomical Observatory. On qOrbital he bridges the quantum outputs to interactive 3D in TypeScript, React, and Three.js.",[772,774],{"label":762,"href":773},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Farnav-singh7",{"label":775,"href":776},"Portfolio ↗","https:\u002F\u002Farnavsingh0.github.io",{"username":778,"name":779,"role":780,"avatar":781},"nico","Nicolaas Spijker","Community manager, Qollab","\u002F_content\u002Fimages\u002Fbuilders\u002Fnicolaas-spijker.webp",null,"Aryan Bawa and Arnav Singh built a visualizer that runs a real quantum-chemistry calculation and renders a molecule's orbital two ways at once, with the hardware's noise on display instead of hidden.","qOrbital runs VQE on IonQ and renders a molecule's orbital as both a probability cloud and Bohmian trajectories, with hardware noise made visible. A Qollab Spring 2026 project.",false,"md","Quantum Creative Challenge · Spring 2026",{"href":88,"label":789},"Fork qOrbital",{"image":791,"alt":792,"liveUrl":730},"\u002F_content\u002Fimages\u002Fqorbital\u002Fhero.webp","qOrbital rendering an H2 molecular orbital as an electron-density cloud with Bohmian trajectories, computed with VQE on IonQ hardware","news",{},"\u002Fblog\u002Fqorbital","2026-05-06","8 min read",[],[800,807,814],{"username":801,"project":802,"title":803,"category":804,"thumb":805,"to":806},"q-inho","qave","QAVE","Education","\u002F_content\u002Fimages\u002Fqave\u002Fthumbnail.webp","\u002Fexplore\u002Fqave",{"username":808,"project":809,"title":810,"category":811,"thumb":812,"to":813},"doraking","musiq","Musiq","Music","\u002F_content\u002Fimages\u002Fmusiq\u002Fthumbnail.webp","\u002Fexplore\u002Fmusiq",{"username":815,"project":816,"title":817,"category":804,"thumb":818,"to":819},"hsadeghi","quantum-advantage-lab","Quantum Advantage Lab","\u002F_content\u002Fimages\u002Fquantum-advantage-lab\u002Fthumbnail.webp","\u002Fexplore\u002Fquantum-advantage-lab",{"title":821,"description":822},"Quantum Creative Project Showcase: qOrbital","A molecular orbital visualizer that runs VQE on IonQ and shows the electron as both a probability cloud and Bohmian trajectories, making hardware noise the exhibit.","blog\u002Fqorbital",[825,826,827],"chemistry","quantum","visualization","DOAV-EfwCovBH11vyXObSm6nQxxuqbbgGyc6zIPCnnI",[],[],1785631554518]